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The Journal of Neuroscience, November 1, 1998, 18(21):9020-9037
Firing Properties of Rat Lateral Mammillary Single Units: Head
Direction, Head Pitch, and Angular Head Velocity
Robert W.
Stackman and
Jeffrey S.
Taube
Department of Psychology, Dartmouth College, Hanover, New Hampshire
03755
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ABSTRACT |
Many neurons in the rat anterodorsal thalamus (ADN) and
postsubiculum (PoS) fire selectively when the rat points its head in a
specific direction in the horizontal plane, independent of the
animal's location and ongoing behavior. The lateral mammillary nuclei
(LMN) are interconnected with both the ADN and PoS and, therefore, are
in a pivotal position to influence ADN/PoS neurophysiology. To further
understand how the head direction (HD) cell signal is generated, we
recorded single neurons from the LMN of freely moving rats. The
majority of cells discharged as a function of one of three types of
spatial correlates: (1) directional heading, (2) head pitch, or (3)
angular head velocity (AHV). LMN HD cells exhibited higher peak firing
rates and greater range of directional firing than that of ADN and PoS
HD cells. LMN HD cells were modulated by angular head velocity, turning
direction, and anticipated the rat's future HD by a greater amount of
time (~95 msec) than that previously reported for ADN HD cells (~25
msec). Most head pitch cells discharged when the rostrocaudal axis of
the rat's head was orthogonal to the horizontal plane. Head pitch cell
firing was independent of the rat's location, directional heading, and its body orientation (i.e., the cell discharged whenever the rat pointed its head up, whether standing on all four limbs or rearing). AHV cells were categorized as fast or slow AHV cells depending on
whether their firing rate increased or decreased in proportion to
angular head velocity. These data demonstrate that LMN neurons code
direction and angular motion of the head in both horizontal and
vertical planes and support the hypothesis that the LMN play an
important role in processing both egocentric and allocentric spatial
information.
Key words:
mammillary nuclei; head direction cell; directional
heading; angular head velocity; head pitch; spatial navigation; limbic
system; anterior thalamus; postsubiculum
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INTRODUCTION |
Navigation requires the encoding and
maintenance of representations regarding the spatial relationship of
the organism to its environment (location and directional
heading). Allocentric representations of spatial location and direction
are thought to be processed by an integrated multimodal circuit within
the limbic system. Several neural regions process and encode distinct types of spatial information. Hippocampal principal neurons discharge as a function of spatial location (O'Keefe, 1976 ; Muller et al., 1987 ), whereas posterior parietal cortical neurons provide the perception of the spatial location of distinct objects (Andersen et
al., 1985 ). Neurons found in the rat postsubiculum (PoS) (Taube et al.,
1990a ,b ) and anterodorsal thalamic nucleus (ADN) (Taube, 1995 )
discharge as a function of directional heading in the horizontal plane,
independent of location or other ongoing behaviors. Each of these head
direction (HD) cells fires maximally at one directional heading,
referred to as the preferred direction. HD cells have also been
identified in the lateral dorsal nucleus of thalamus (Mizumori and
Williams, 1993 ); striatum (Wiener, 1993 ; Mizumori and Cooper, 1995 );
and retrosplenial and medial prestriate cortices (Chen et al., 1994 ).
The organization of a central representation of directional bearing
undoubtedly requires the coordinated integration of neural signals from
several brain areas. Understanding the circuitry conveying the HD cell
signal is an important first step in elucidating the neural mechanisms
of a sense of directional heading.
In rats, the PoS is reciprocally connected with the ADN, lateral dorsal
thalamic nucleus, and retrosplenial cortex (Swanson and Cowan, 1977 ;
van Groen and Wyss, 1990 , 1992 , 1995 ; Shibata, 1993 ). HD cell firing is
abolished in the PoS after neurotoxic ADN lesions (Goodridge and Taube,
1997 ), suggesting that the HD cell signal may be generated in the ADN
(or areas afferent to it) and conveyed to the PoS. We recently reported
that lesions of the vestibular apparatus disrupt directional firing of
ADN neurons demonstrating the critical role of vestibular information in HD cell activity (Stackman and Taube, 1997 ). Vestibular information arising from brainstem vestibular nuclei could reach the ADN via at
least two polysynaptic pathways. The vestibular nuclei project primarily to the medial geniculate nucleus and the ventral posterior inferior thalamic nucleus (Abraham et al., 1977 ; Lang et al., 1979 ).
These thalamic areas project to the parietoinsular vestibular cortex in
nonhuman primates (Büttner and Lang, 1979 ; Grüsser et al.,
1990 ). Thus, the ADN could receive vestibular information via a
corticofugal pathway from the parietoinsular cortex to retrosplenial cortex, and in turn to the ADN directly, or indirectly via the Pos (see
Fig. 10). Alternatively, the rat medial vestibular nuclei, which encode
primarily horizontal semicircular canal information, project directly
to the dorsal tegmental nucleus (Liu et al., 1984 ). The dorsal
tegmental nucleus innervates the lateral mammillary nuclei (LMN)
(Shibata, 1987 ; Allen and Hopkins, 1989 ; Gonzalo-Ruiz et al., 1992 ),
which are reciprocally connected to the ADN (Hayakawa and Zyo, 1989 ;
Shibata, 1992 ; Guison et al., 1995 ). The LMN also receive input from
the PoS (Allen and Hopkins, 1989 ; Shibata, 1989 ). As a component of the
mammillary complex, the LMN may be in a unique position to affect
allocentric spatial information processing via an influence on HD cell
activity as an element of a tripartite circuit that includes the ADN
and PoS. Accordingly, lesions of the mammillary complex produce
impairments in spatial memory processing (Aggleton et al., 1990 ; Neave
et al., 1997 ; Sziklas and Petrides, 1998 ). Therefore, the present
experiment examined the spatial correlates of LMN neurons recorded from
freely moving rats. Our results show that most LMN cells displayed one of three types of spatial correlates: (1) directional heading in
azimuth, (2) head pitch, or (3) angular head velocity.
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MATERIALS AND METHODS |
Subjects and training. Subjects were 17 female
Long-Evans rats, weighing 250-300 gm at the beginning of the
experiment. Rats were maintained on a food-restricted diet (15-20
gm/d) and housed separately in suspended wire mesh cages. Tap water was
available ad libitum. All training, unit screening, and
recording occurred during sessions in which the rats foraged for food
pellets in a gray cylindrical apparatus (76 cm diameter, 51 cm high). A
black floor-to-ceiling curtain enclosure (2 m diameter) surrounded the cylinder, and four uniformly arranged overhead DC lamps provided illumination. A color video camera (model XC-711; Sony, Tokyo, Japan)
was centered above the cylinder 3 m from the floor surface. The
cylinder was placed on a sheet of gray photographic backdrop paper. A
white cue card attached to the inside wall of the cylinder, occupying
~100° of arc, served as a visual landmark. Rats received at least
five training trials (1 trial/d) during which food pellets (20 mg, PJ
Noyes, Lancaster, NH) were thrown randomly into the cylinder. By the
completion of training, rats engaged in nearly continuous food pellet
search behavior over the entire floor of the cylinder. All procedures
involving the rats were performed in compliance with institutional
standards as set forth by the National Institutes of Health Guide
for the Care and Use of Laboratory Animals and the Society for
Neuroscience.
Electrode implantation. Electrode construction and
implantation techniques used were similar to those described previously (Taube, 1995 ). Briefly, each electrode array consisted of a bundle of
ten 25-µm-diameter, nichrome wires (California Fine Wire Co., Grover
City, CA) insulated except at the tips. The wire bundle was passed
through a 26 gauge stainless steel cannula (27 mm in length) and each
wire attached to a modified 11-pin Augat connector. The electrode array
could be advanced in the dorsoventral plane through the use of three
screws attached to the acrylic base of the electrode (Kubie, 1984 ).
After habituation to the cylindrical apparatus and the expression of
adequate food pellet foraging behavior, each rat was anesthetized with
a ketamine-xylazine mixture (2 ml/kg; i.m.) and stereotaxically
implanted with an electrode array directed at the LMN of either the
left or right side. Electrode coordinates were as follows: from bregma:
anteroposterior, 4.6 mm; mediolateral, ±1.05-1.10 mm; ventral, 8.1 mm from the cortical surface (Paxinos and Watson, 1998 ). Self-tapping
stainless steel screws were placed in the skull plates over the
cerebellar cortex, parietal cortex, and frontal cortex, and dental
cement anchored the electrode assembly in place. All procedures were
conducted according to an institutionally approved animal care
protocol. All surgical procedures were conducted under sterile
conditions, and the rats were allowed a 1 week postoperative recovery
before single unit screening commenced.
Isolation and recording of single unit activity. After
recovery from surgery, the activity from each microelectrode wire was assessed during daily unit screening sessions while the rat foraged for
food pellets in the cylinder. The electrode wires were advanced over
several weeks while screening for single-unit waveforms that were of an
acceptable amplitude for isolation from background electrical noise.
Each rat was transported into the screening area from the animal colony
room in a covered corrugated cardboard enclosure (~30 × 30 cm
box). The cardboard box was placed on the floor inside the curtained
enclosure next to the cylinder. A recording cable was attached to the
implanted electrode while the rat was held gently in a towel. The rat
was then released into the cylinder apparatus from a start position
that varied daily in a pseudorandom manner. Unit activity was recorded
using procedures similar to those described previously (Taube et al.,
1990a ; Taube, 1995 ). Briefly, electrical signals were passed through a
field-effect transistor (FET) (1 FET/electrode) in a source-follower
configuration through an overhead commutator (Biela Development),
amplified (Grass Instruments, P5 Series), bandpass filtered
(300-10,000 Hz, 3 dB/octave; Peavey Electronics, model PME8), and then
through a series of window discriminators (BAK Electronics, model
DDIS-1). The resultant signal was then displayed on an oscilloscope
(Tektronix, model 2214). Electrode activity was monitored while
observing the rat's behavior on a video monitor with a camera mounted
3 m above the cylinder floor. If well isolated cells were not
found, the electrodes were advanced 25-50 µm further into the brain, and the activity was monitored on the electrodes again the next day.
Screening for cells occurred over the course of several weeks.
When the waveform of a single cell could be sufficiently isolated from
the background electrical noise, two light-emitting diodes (LEDs) (a
red LED positioned over the rat's snout, and a green LED positioned
over its back) were added to the recording cable. The x,
y coordinates of the LEDs were monitored at 60 Hz by a
video-tracking system (Eberle Electronics). During 8 min recording
sessions the LED coordinates and the neuronal discharges were sampled
at 60 Hz and acquired by a data acquisition interface board (National
Instruments, model DIO-96) in a personal computer (Macintosh Quadra
840AV). Data were stored for subsequent off-line analyses using LabView
software programs (National Instruments). The rat's location was
defined as the point 25% of the distance from the red LED along the
line between the two LEDs; this point corresponded to the position of
the rat's head. During recording sessions, a speaker mounted on the
ceiling and centered above the cylinder broadcast white noise to mask
any uncontrolled auditory cues.
Data analysis. The rat's head direction was determined from
the relative positions of the two LEDs using procedures defined previously (Taube et al., 1990a ; Taube, 1995 ). Consistent with these studies, the HD by firing rate tuning curve functions were considered as triangles, and each HD cell was analyzed to determine the
basic firing properties: (1) preferred firing direction; (2) peak
firing rate; (3) directional firing range; (4) asymmetry ratio; (5)
mean background firing rate; and (6) overall mean firing rate
independent of HD. The triangular analysis of the results of each HD
cell provides left and right triangular legs of the firing rate by HD
tuning function. The slopes of the best-fit lines through the left and
right triangular legs were determined, and an asymmetry ratio was
calculated by comparing the left leg slope to the absolute value of the
right leg slope. An asymmetry ratio of 1 indicates that the slopes of
the left and right legs are symmetrical.
For the present results we also computed the directional information
content value for each HD cell. Information content per spike
represents a quantitative measure of the amount of information that is
conveyed by each spike generated by a cell (Skaggs et al., 1993 ). In
this case, the directional information content can be thought of as a
measure of the degree to which cell firing can predict the animal's
directional heading. The information content for HD cells was
calculated using the following formula:
where pi = probability that the head pointed
in the ith bin (pi is the dwell
time of the head in the ith bin divided by the total
recording time); i = the mean firing rate of the cell in the
ith bin of HD; and = the overall mean firing rate of the
cell for the entire recording session. A directional information
content value of 0 reflects no correlation between directional heading
and the firing of the cell; a value approaching or >1 indicates a
strong positive correlation between directional heading and firing
rate.
Linear velocity. Analytical procedures described previously
(Taube, 1995 ) were used to evaluate the dependence of LMN HD
cell-firing rates on linear velocity. For each HD cell, all episodes of
at least 10 consecutive samples (0.167 sec) in which the rat maintained its head direction within the preferred firing direction of the cell
(±6° arc) were selected from each 8 min recording session. Cells
were excluded if <10 episodes occurred within the recording session.
For each episode the distance the rat traveled between the first and
last samples was correlated with the mean firing rate across the
episode.
Angular velocity. Angular head velocity was determined using
methods described previously (Taube, 1995 ). Briefly, for each cell,
samples were selected from the 8 min recording session during which the
rat pointed its head within ±6° of the preferred firing direction.
For each sample (n), angular head velocity was determined by
taking the first derivative of the HD versus time function. However,
before taking the first derivative, we first "smoothed" the HD
versus time function to reduce the error caused by video interlacing.
The HD versus time function was smoothed using the function:
[n = (nt 2 + nt 1 + n + nt + 1 + nt +
2/5]. Next, the first derivative for each sample was
calculated by defining an episode of five time points centered on that
sample and then determining the slope of the best-fit line through
those five points. Clockwise (CW) turns were indicated by negative
slopes, whereas counterclockwise (CCW) turns were indicated by positive slopes. The absolute value of angular head velocity for each time point
was compared with the firing rate associated with that episode (number
of spikes in the episode divided by episode duration) and a correlation
value determined across all samples
(rav). In addition to this overall
correlation, we also calculated a correlation value based on CW and CCW
head turns (rcw and
rccw).
A similar approach was used to examine the influence of angular head
velocity on the firing rates of nondirectional LMN single units. For
these cells (head pitch cells and AHV cells), we modified the analysis
to include all directional headings of the rat. For each cell, the mean
firing rates were determined for specific angular head velocity
intervals (in °/sec: 0-90, 90-180, 180-270, and 270-1000).
Optimal time shift. To determine the optimal temporal
relationship between LMN HD cell firing and the rat's directional
heading, we used two analytical methods. The first method used was a
time-shift procedure, the details of which have been described
previously (Taube and Muller, 1998 ). This analysis involves shifting
the spike time series forward and backward in time in 1/60th sec
intervals (16.6 msec), relative to the head direction time series. For
each 1/60th sec time shift, a firing rate versus HD function is
determined, and three HD cell properties are measured: peak firing
rate, directional range width, and directional information content. For
the following analyses, the range width is defined as the width (in
degrees) of the firing rate by HD function at 0.3 of the peak firing
rate. The optimal time shift for each parameter is the amount the spike series is shifted that yields the maximum peak firing rate and information content, and minimal directional range width. A negative optimal time shift indicates that cell firing is associated with the
rat's past HD, whereas a positive optimal time shift indicates that
cell firing is associated with the rat's future HD.
The second method used to investigate the temporal nature of HD cell
activity examined the preferred firing directions exhibited during CW
and CCW head turns (Blair and Sharp, 1995 ). To quantify this
relationship, Blair and Sharp (1995) calculated the separation angle
( ), or difference in degrees between the preferred firing directions
for CCW and CW head turns, computed as = peak (CCW) peak (CW).
The preferred firing direction for this analysis was defined as the
center of the weighted average of all the firing rates ±90° around
the preferred direction for each CW and CCW function. A negative value indicates that cell firing lags current head direction, whereas a
positive value indicates that cell firing leads or anticipates head
direction.
Cue card rotation. To evaluate the stimulus control exerted
by the cue card, some HD cells were recorded after a 90° rotation of
the cue card. The HD cell was first recorded during an 8 min recording
session during which the cue card was affixed to the cylinder wall at
the 3 o'clock position. Without disconnecting the rat from the
recording equipment, the rat was removed from the cylinder to the
cardboard enclosure. With the rat out of view, the cue card was rotated
to a position on the cylinder wall 90° CCW, and the floor paper was
replaced. The rat was gently disoriented in the cardboard enclosure for
1-2 min by the experimenter walking around the cylinder while turning
the box slowly. The rat was then returned to the cylinder at an entry
point different from that of the initial recording session. The cell
was recorded for a second 8 min session. After completion of this
"rotation" session, the rat was again returned to the cardboard
enclosure, and the above procedures were repeated. The cue card was
returned to the standard position (i.e., 3 o'clock), and a final 8 min
session was recorded.
To quantify the deviation of the preferred direction shift from the
expected 90° shift, we used a cross-correlation method described in
detail previously (Taube et al., 1990a ). The firing rate versus HD
tuning function of the rotation session was shifted in 6° increments
and cross-correlated with the tuning function of the same cell recorded
during the initial standard session. The degree of shift necessary to
maximize the correlation between the tuning functions of the two
recording sessions was considered the rotation of the preferred firing
direction. This analysis was also used to determine the consistency of
the preferred firing direction between the initial and final standard
sessions.
At the conclusion of these analyses, the electrode array was advanced
further through the brain over the course of several months, and
additional unit activity was screened for spatial correlates. Unit
screening was terminated when the electrode array had been advanced
~2 mm.
Head pitch cell analysis. Pitch of the animal's head was
assessed by plotting firing rate by head pitch. Head pitch was
calculated for each 60 Hz sample by computing the distance between the
red and green LEDs that were fixed to the recording cable over the rat's snout and back, respectively. Because the video camera remained fixed at the ceiling, the distance between the two LEDs as viewed by
the overhead camera is proportional to the cosine of the pitch of the
rat's head. Note, however, that this method does not distinguish whether the rat's head is pitched up or down. For example, if the rat
stood on all four feet, with the rat's head oriented parallel to the
cylinder floor (head pitch = 0° vertical), the apparent distance
between the two LEDs was 11 cm. The apparent distance between the LEDs
approached 0 cm as the rat's head pitched toward 90° vertical.
However, if the rat reared but its head pitch was 0°, the apparent
distance of the LEDs would be detected by the video tracking system as
>11.00 cm, because the LEDs are closer to the camera. To correct for
this problem, head pitch values were determined by dividing the
distance value (in centimeters) of each sample by the overall maximal
LED distance value and computing the arc cosine of the result. Head
pitch values were expressed in degrees. For example, a head pitch of
+70° vertical would be interpreted by the video tracking system as a
red-to-green LED distance measure of 3.76 cm, assuming an overall
maximal distance value of 11.00 cm. The maximum vertical pitch that was
reliably detected by the video tracking system was +82° vertical.
Note that this method of calculating head pitch is unable to
distinguish between episodes when the rat's head was pitched toward
the ceiling and when pitched toward the cylinder floor. However,
preliminary tests determined the range of LED distances likely to occur
when the rat's head was pitched toward the floor. These tests
indicated that head pitch values 40° were contaminated by both
positive and negative head pitch events. More importantly, head pitch
values 40° occurred only when the rat's head was pointed
upward toward the ceiling.
Firing rate by head pitch plots were generated for each head pitch cell
using the following procedure. For each 1/60th sec sample, the rat's
head pitch was determined by dividing the red-to-green LED distance as
viewed by the video camera by the overall maximal LED distance value.
The resulting value was assigned to one of 23 bins (bin 1 = maximum distance; bin 23 = minimum distance) along with the number
of spikes discharged during that sample. The total time and the number
of spikes at each head pitch bin were computed. Firing rates for each
bin were then determined by dividing the number of spikes by the
sampling time in each bin. Samples were excluded from analysis in the
event of nondetection of either LED, or if the red-to-green LED
distance exceeded 13.00 cm. During our preliminary tests of the
resolution of head pitch we never encountered an LED distance measure
>13.00 cm even while the rat was rearing, thus any distance measure
>13.00 cm reflects an erroneous measure. Respective distance values
corresponding to each bin were translated to degrees of pitch by taking
the arc cosine of the distance value. Pitch bin 1 corresponded to head
pitch values between 0 and 4°; pitch bin 2 corresponded to head pitch
values between 4 and 8°;... and pitch bin 23 corresponded to head
pitch values between 88 and 90°. The resulting cell discharge rates
were plotted as a function of head pitch to assess tuning of the LMN
head pitch cells. Because we never observed any sampling of head pitch
>84°, for graphical purposes we combined all firing rate values for
head pitch samples 80°. Thus, the head pitch-tuning functions
depict the representative firing rates for head pitch from 0 to
80°. To collect a sufficient number of different head pitch
samples, all head pitch cells were recorded for 16 min.
Statistical procedures. ANOVA and t tests
were used to evaluate the relationship between LMN cell activity and a
number of factors (i.e., linear and angular velocity, temporal
relationship of HD to cell activity, and cue rotation). A criterion
level of p < 0.05 was used for all statistical
analyses. Potential differences between the firing properties of LMN
cells and those of PoS and ADN were statistically evaluated using one-
or two-factor ANOVAs, followed by post hoc
Scheffé multiple comparisons tests when appropriate.
Histology. At the conclusion of unit screening, rats were
overdosed with sodium pentobarbital (100 mg/kg; i.p.). Weak anodal current (15 µA for 10 sec) was passed through one of the electrode wires to mark its location by the deposition of iron (Prussian blue
reaction). The rats were perfused transcardially with 0.9% saline
followed by 10% formalin, and the brains were removed and placed into
10% formalin for at least 48 hr. The brains were then transferred to a
10% formalin solution containing 2% potassium ferrocyanide for 24 hr
and returned to a 10% formalin solution for 24 hr, after which the
brains were placed into a 20% sucrose solution for at least 48 hr. The
brains were then blocked, frozen on dry ice, sectioned coronally at 25 µm on a cryostat, and mounted on to microscope slides. The sections
were stained with cresyl violet and examined under light microscopy to
determine the location of recording sites.
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RESULTS |
Histology
Histological analyses after completion of unit screening verified
that each electrode array had passed through the LMN in all 17 rats.
Recording electrode tracks were identified by the Prussian blue
reaction at the ventral most limit of the lateral mammillary nuclei or
immediately ventral to it. Given the proximity of the LMN to the
ventral surface of the brain, in some cases it was difficult to
localize a Prussian blue reaction despite the more obvious presence of
the electrode cannula track through the tissue. Indeed, in a few cases
the Prussian blue reaction could not be observed because the electrode
wires had advanced through the ventral surface of the brain. Moreover,
because only one wire from each electrode was identified by the
Prussian blue reaction, it is possible that some of the electrode wires
passed through the lateral extent of the medial mammillary nucleus or lateral to the LMN. Figure 1 shows a
photograph of a cresyl violet-stained coronal section from one rat
depicting the recording site. The photograph represents a high
magnification view of the area indicated on the coronal schematic by
the dashed line box. In this case, the electrode was directed at the
right LMN, and the arrow points to the track of the electrode passing
through the LMN. Based on our histological assessment of the electrode
tracks from all rats, we believe that most, if not all of the cells
discussed below were localized to the LMN.

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Figure 1.
Representative recording site. A,
Schematic diagram of a coronal section at the level of the LMN at
4.52 mm from bregma, modified from the atlas of Paxinos and Watson
(1998) . The dashed box depicts the outline of the region
from which the photomicrograph (B) was taken.
B, Photomicrograph of a coronal section stained for
cresyl violet illustrating the electrode track passing through the LMN.
Arrow indicates the ventral tip of the electrode track.
3V, Third ventricle; CA2-3, CA2, CA3 of
hippocampus; cp, cerebral peduncle; DG,
dentate gyrus; F, nucleus of fields of Forel;
f, fornix; ic, internal capsule;
LH, lateral hypothalamus; LM, lateral
mammillary nuclei; LV, lateral ventricle;
MM, medial mammillary nuclei; ML, lateral
aspect of medial mammillary nuclei; ml, medial
lemniscus; pm, premammillary tract; PH,
posterior hypothalamus; PR, prerubral field;
SNR, substantia nigra pars reticulata;
SuM, supramammillary nuclei; VTM, ventral
tuberomammillary nuclei; ZI, zona incerta. Scale bar,
0.5 mm.
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Qualitative description of cell sample
A total of 87 cells were recorded from 17 rats. Twenty LMN single
units (23%) were identified as head direction cells. Qualitatively, the firing characteristics of LMN HD cells appeared similar to HD cells
recorded from the PoS and ADN. LMN HD cells discharged as a function of
the rat's directional heading in the horizontal, or yaw plane, with
each cell discharging maximally at only one preferred firing direction.
The preferred firing directions of all LMN HD cells were uniformly
distributed over the 360° range, and the preferred direction of each
cell remained stable throughout the recording session. Therefore, all
vectors representing the rat's head direction at the time of peak cell
discharge were parallel. Qualitative assessment determined that with
the rat's head oriented in the preferred firing direction of the cell,
head pitch (rotation of the head up or down) up to 90° vertical, head
roll (rotation around the anteroposterior axis), or rearing of the rat,
did not alter cell firing significantly. Consistent with HD cells
recorded from the ADN and PoS, the firing of LMN HD cells was
independent of the rat's location within the cylinder or its ongoing
behaviors (e.g., chewing, grooming, sniffing, running, walking, or
motionless; no HD cells were monitored during sleep).
The remainder of the recorded units were identified as nondirectional
cells. Each cell that exhibited a waveform of sufficient amplitude was
recorded for at least one 8 min recording session regardless of the
classification of the cell. Of the 67 nondirectional cells recorded,
(1) 14 cells (16%) were classified as head pitch cells and discharged
maximally whenever the rat pitched its head to near vertical; (2) 38 cells (43.7%) were classified as angular head velocity (AHV) cells and
exhibited firing rates that were modulated by the angular head velocity
of the rat; (3) 11 cells (12.6%) were classified as having
nondeterminable correlates and exhibited a continuous high firing rate
(30-40 spikes/sec) regardless of the rat's head direction, head
pitch, location, or ongoing behavior; and (4) four cells (4.6%) were
classified as theta cells (Ranck, 1973 ) because these cells exhibited
rhythmic firing patterns in the range of the theta frequency (5-8 Hz).
Furthermore, the LMN theta cells discharged rhythmically during
sniffing, eating, walking, and running behaviors. Although we did not
concurrently record the rat's EEG, intracellular recording studies
in vitro have shown that LMN neurons discharge rhythmically
in theta frequency bursts (Llinas and Alonso, 1992 ). Furthermore,
supramammillary neurons exhibit theta burst-firing patterns that are
phasically locked to the hippocampal theta rhythm in anesthetized rats
(Kocsis and Vertes, 1994 ) and in freely moving rats (McNaughton et al., 1995 ). Thus, it is likely that the "theta-like" cells that we recorded in the LMN are similar to theta cells observed in other parts
of the limbic system.
Analyses revealed that there was no apparent topographical relationship
between electrode placement and the spatial correlates recorded. In a
number of cases HD cells were recorded and later after advancing the
electrodes, AHV cells or head pitch cells were recorded from the same
electrode wires. In a few instances, HD cells and AHV cells were
recorded simultaneously from distinct electrode wires.
Quantitative analyses of LMN HD cell-firing properties
The firing properties of LMN HD cells were markedly similar to
those of PoS and ADN HD cells. The percentage of LMN cells classified
as HD cells (23%) is lower than that reported for the ADN (56%;
Taube, 1995 ) but similar to that reported for the PoS (25%; Taube et
al., 1990a ). There were no significant differences in firing properties
between HD cells recorded from the right (n = 14) and
left (n = 6) LMN, and this data were therefore pooled into a single group. Figure 2 illustrates
firing rate versus head direction plots for four LMN HD cells, each
plot was recorded from a different rat. The plots illustrate that cell
discharge was elevated above background firing rates over ~170°,
and there was a symmetrical decrease in firing rate away from the
preferred direction. LMN cells were analyzed to determine the peak
firing rate, preferred firing direction, directional firing range,
directional information content, background firing rate, and
signal-to-noise ratio. To determine potential regional differences in
HD cell populations, the data from these LMN cells were compared with a
population of HD cells in the PoS (n = 25) and ADN
(n = 29) that were recorded under identical conditions
(Table 1).

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Figure 2.
Plots of firing rate as a function of head
direction for four representative HD cells recorded in the LMN of four
different rats. Plots were generated from data collected in 6° bins
during 8 min recording sessions. These plots illustrate the different
types of peak firing rates, directional range widths, and background
firing rates found across LMN HD cells. Each cell exhibited a distinct
preferred firing direction. The cell depicted in the bottom
right was recorded from the left LMN, whereas the remaining
three cells depicted were recorded from the right LMN.
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Peak firing rates
LMN HD cells exhibited a mean ± SEM observed peak firing
rate of 69.53 ± 13.67 spikes/sec. Although the peak firing rate
for a given HD cell was consistent across recording sessions, there was
considerable variability in peak firing rates across the population of
cells (range, 9.75-226.46). Figure
3A represents a frequency distribution of the peak firing rates. When multiple HD cells were
recorded from the same rat, each cell exhibited a distinct peak firing
rate, and there was no trend for HD cells recorded from the same animal
to exhibit similar peak firing rates.

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Figure 3.
Frequency distribution histograms of peak firing
rate (A); preferred firing direction
(B); direction firing range
(C); and directional information content
(D) for all 20 LMN HD cells. See Results for
details.
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Comparing LMN peak firing rate values with those from PoS and ADN HD
cells (Table 1), a one-factor ANOVA yielded a significant effect of
region (PoS, ADN, LMN) (F(2,67) = 9.77;
p < 0.002). Post hoc Scheffé
multiple comparisons tests indicated that the observed peak firing
rates of LMN HD cells were significantly higher than those of PoS and
ADN HD cells. Consistent with data from Taube (1995) , there were no
significant differences in peak firing rates between ADN and PoS HD
cells.
Preferred firing directions
In general, the preferred firing directions of LMN HD cells were
uniformly distributed around 360°; only one HD cell exhibited a
preferred firing direction between 180 and 225°, whereas four cells exhibited preferred directions between 315 and 360°. The results of a Rayleigh test (Batschelet, 1981 ) indicated that this sample was randomly distributed around 360°, r(20) = 0.18;
p > 0.53. The frequency distribution of preferred
firing directions of LMN HD cells is depicted in Figure
3B.
Directional firing range
The mean directional firing range of LMN HD cells was 168.16 ± 8.04° (range, 81.01-220.07°). A frequency distribution of
directional firing ranges is presented in Figure 3C. The
directional firing ranges of LMN HD cells were significantly larger
than the ranges observed in PoS and ADN HD cells (Table 1) (one-factor
ANOVA, F(2,67) = 35.7; p < 0.0002). In agreement with a previous study, there was no significant
difference between PoS and ADN HD cells (Taube, 1995 ). Previous
analyses have demonstrated a weak correlation between the peak firing
rate and directional firing range of HD cells recorded from PoS
(r = 0.52; Taube et al., 1990a ) and ADN (r = 0.18; Taube, 1995 ). For LMN HD cells, the
correlation between these two parameters was also weak,
r = 0.18.
Directional information content
A frequency distribution of directional information content values
for LMN HD cells is presented in Figure 3D. The mean
directional information content was 0.81 ± 0.13° (range,
0.20-2.62). A one-factor ANOVA yielded a significant effect of region
(F(2,67) = 3.74; p < 0.03) when
comparing the mean directional information content across the LMN, PoS,
and ADN (Table 1). Post hoc Scheffé multiple comparisons tests indicated that the mean directional information content of LMN HD cells was significantly lower than that of ADN HD
cells but not significantly different from that of PoS HD cells. Directional information content values for PoS HD cells were not significantly different from that of ADN HD cells.
Asymmetry of the firing rate by head direction-tuning function
The mean asymmetry ratio for LMN HD cells was 1.17 ± 0.14 (range, 0.66-3.30), demonstrating a near symmetrical decrease in firing rates in both directions away from the preferred firing direction. The asymmetry ratio values of LMN HD cells compared with PoS
and ADN HD cells are shown in Table 1. There were no significant
differences in asymmetry ratio values across the three brain regions
(F(2,67) = 1.62, NS).
Background firing rates and signal-to-noise ratio
Background firing rates were generally low for most LMN HD cells,
although 16 of 20 cells had background firing rates above 1 spike/sec.
The mean background firing rate was 5.11 ± 1.78 spikes/sec (range, 0.03-35.49 spikes/sec). All cells reported here were well isolated waveforms; therefore, it is unlikely that poor isolation contributed significantly to the observed higher background firing rates. LMN HD cells had higher background firing rates than PoS and ADN
HD cells (F(2,67) = 4.38; p < 0.02). Background firing rates for PoS HD cells were not significantly
different from that of ADN HD cells. The mean signal-to-noise ratio for
LMN HD cells was 56.5 ± 21.1 (range, 3.3-354.6) and was not
significantly different from PoS or ADN HD cells
(F(2,67) = 0.66, NS).
Linear velocity modulates LMN HD cell-firing rates
We evaluated the dependence of LMN HD activity on linear velocity
because previous reports have indicated a small influence of linear
motion on the firing rates of PoS and ADN HD cells (Taube et al.,
1990a ; Taube, 1995 ). All recording sessions from the 20 LMN HD cells
had at least 10 episodes in which the rat's directional heading
remained within ±6° of the preferred direction of the cell; the mean
number of episodes per cell was 27.20 ± 1.78 (range, 11-42). For
these episodes, the mean correlation value
(rlv) between linear velocity and firing
rate was 0.24 ± 0.04 (range, 0.005-0.60), and a t
test showed that this r value was unlikely to have arisen from a population value of zero (t(19) = 5.81;
p < 0.0002). Similar analyses on the populations of
PoS and ADN cells (Table 1) and comparison with LMN cells indicated
that there was no significant effect of region
(F(2,65) = 0.33, NS).
Influence of head-turning behavior on LMN cell-firing rates
Angular head velocity modulates LMN firing rates
In addition to linear velocity, previous reports have indicated
that the discharge of ADN HD cells, but not PoS HD cells, is modulated
by angular head velocity when firing rate increases with faster head
turns through the preferred firing direction (Taube, 1995 ; Blair and
Sharp, 1995 ; Taube and Muller, 1998 ). To determine whether LMN HD cells
were also modulated by angular head velocity we first determined an
overall correlation value (rav) for each
cell, independent of turning direction. For the pooled sample of all 20 LMN HD cells, the mean rav value was 0.08 ± 0.03 (range, 0.16-0.30). Although this mean correlation is small,
a t test indicated that this mean value was unlikely to have
arisen from a population with an expected mean of zero
[t(19) = 2.59; p < 0.02]. These data
demonstrate that increases in angular head velocity were found to be
associated with higher LMN firing rates. Similar analyses were
conducted on the populations of PoS and ADN HD cells, and the results
were consistent with those obtained in previous studies (Table 1)
(Taube, 1995 ; Blair and Sharp, 1995 ; Taube and Muller, 1998 ).
Comparison of rav across the three brain regions
revealed a significant effect of region (F(2,67) = 7.22; p < 0.0016), with post hoc
tests indicating a significant difference between PoS HD cells and both
LMN and ADN HD cells; there was no significant difference between ADN
and LMN HD cells.
To assess whether the angular velocity-dependent modulation of LMN HD
cell-firing rates was specific to preferred firing direction or a more
general influence over the discharge of LMN neurons, we also assessed
the influence of angular velocity on cell discharge when the rat's
head was pointed 180° (±18° of arc) away from the respective
preferred firing direction. Specifically, is the background firing rate
of LMN HD cells also modulated by angular velocity? The data from two
LMN HD cells were not used because of insufficient sampling. The mean
out-of-range rav value was 0.06 ± 0.02 (range, 0.10 to 0.17), and was significantly different from a
population with an expected mean of zero (t(17) = 3.76;
p < 0.002). These data indicate that angular velocity
also modulated the background firing rate of LMN HD cells, with higher
firing rates associated with faster head turns. Similar analyses for
ADN and PoS HD cells did not show this effect [ADN: mean out-of-range
rav = 0.02 ± 0.02, t(27) = 1.39, NS; PoS: mean out-of-range rav = 0.01 ± 0.01, t(20) = 0.92, NS]. Therefore, the
effect of angular velocity on the background firing rate may be unique
to LMN HD cells. Taken together, these data indicate that angular head
velocity has a more fundamental influence over LMN HD cell firing than
for ADN HD cells, which were only modulated within the directional
firing range of the cell, and for PoS HD cells, which were not
modulated by angular head velocity at any directional heading.
Influences of head-turning direction on firing rates of LMN
HD cells
Previous reports have shown that PoS and ADN HD cell firing is
independent of the direction the head is turning (i.e., CW vs CCW)
(Taube et al., 1990a ; Taube, 1995 ; Blair and Sharp, 1995 ; Blair et al.,
1997 ). In contrast, the peak firing rates of LMN HD cells appeared to
be influenced by the direction of head turning, where the peak firing
rate of the cell was higher for one turning direction compared with the
other turning direction. Furthermore, this modulation was influenced by
the side of the brain from which the cell was recorded. HD cells on the
right side had higher peak firing rates for CW head turns, and HD cells
in the left side had higher peak firing rates for CCW head turns.
Figure 4, A and B,
depicts examples from the LMN from each side of the brain. In addition
to the peak firing rate differences, note that the CW and CCW functions
are shifted with respect to each other. This shift is a consequence of
the anticipatory nature of LMN HD cells; we will return to this issue
in the following section.

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Figure 4.
Differences in influence of turning direction on
HD cells recorded from the left and right LMN. Most HD cells recorded
from the left LMN exhibited higher firing rates during CCW head turns,
whereas most HD cells recorded from the right LMN exhibited higher
firing rates during CW head turns. A, B,
Representative firing rate by HD-tuning curves during CCW and CW head
turns for an LMN HD cell recorded from the left side
(A), and from the right side
(B). For each HD cell a CW:CCW ratio was
calculated by dividing the CW peak firing rate by the CCW peak firing
rate. C, D, Representative CW and CCW
firing rate versus HD tuning functions for a PoS HD cell
(C) and an ADN HD cell (D).
E, The frequency distribution of CW:CCW ratios across
both sides (open bars, left side;
filled bars, right side) for LMN HD
cells. F, The frequency distributions of CW:CCW ratios
for PoS and ADN cells (open bars, ADN;
filled bars, PoS). Note that the
histogram for ADN cells reveals little preference for higher firing
rates for CW or CCW turns, whereas the distribution for PoS cells
indicates that six cells (30%) exhibited higher firing rates for CCW
turns than CW turns.
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To further investigate the influence of head-turning direction, for
each HD cell a CW:CCW ratio was calculated, in which the CW peak firing
rate was divided by the CCW peak firing rate. A CW:CCW ratio value <1
would indicate higher peak firing rates during CCW head turns, a ratio
value equal to 1 would indicate equivalent peak firing rates for CW and
CCW head turns, and a ratio value >1 would indicate higher peak firing
rates during CW head turns. Of the 20 HD cells recorded from the LMN,
six cells were recorded from the left side, and 14 cells were recorded
from the right side. The frequency distribution of CW:CCW ratios across both sides is illustrated in Figure 4E. This histogram shows
that 9 of 14 HD cells recorded from the right side exhibited CW:CCW ratios 1.2 and five of six left side HD cells had CW:CCW ratios 0.8. The mean CW:CCW ratios for cells in the right and left sides were 1.30 ± 0.10 and 0.91 ± 0.08, respectively; these mean
ratios were significantly different from each other (t(18) = 2.45; p < 0.015).
To examine whether these properties are unique to LMN HD cells, we also
performed similar analyses for the populations of PoS and ADN HD cells.
All the cells from both populations were recorded in the right
hemisphere of the PoS and the right side of the ADN. The mean CW:CCW
ratio for the PoS HD cells was 0.90 ± 0.06 (range, 0.50-1.40);
whereas the mean ratio for the ADN HD cells was 1.06 ± 0.04 (range, 0.45-1.43). Neither CW:CCW ratio mean value was found to be
significantly different from a population with a mean of 1 (PoS,
t(20) = 1.74, NS; ADN, t(28) = 1.56, NS). A
one-factor ANOVA on CW:CCW ratio values yielded a significant effect of
region (F(2,67) = 5.48; p < 0.007), and post hoc comparisons indicated that the
mean CW:CCW ratio of LMN HD cells was significantly different from that
of both PoS and ADN HD cells; there was no difference between the PoS
and ADN. Figure 4, C and D, illustrates the CW
and CCW firing rate versus HD tuning functions for a PoS HD cell and an
ADN HD cell, respectively. Figure 4F depicts the frequency distributions of CW:CCW ratio values for PoS and ADN cells.
Although the frequency distribution data for the population of ADN
cells reveals that the majority of cells had no preference for higher
firing rates for CW or CCW, the distribution for PoS cells is skewed.
Six PoS cells had CW:CCW ratios 0.6; these cells exhibited firing
rates that were higher during CCW head turns. Consistent with these
data, Taube et al. (1990a) reported that two PoS HD cells
exhibited differential firing rates as a function of head-turning
direction. Given that the present population of PoS and ADN HD cells
were all recorded from the right side of the brain, the possibility of
laterality differences remains. Nonetheless, Blair and Sharp (1995)
reported an absence of differences in the firing rates of ADN HD cells,
recorded from the left and right sides, when comparing their CW and CCW
tuning functions. Collectively, these data demonstrate that the firing
rates of LMN HD cells are modulated by head-turning direction.
Given that the LMN projects to the ADN, which in turn has reciprocal
connections with the PoS, it is noteworthy that turn direction
modulation is not a characteristic of either ADN or PoS HD cells and
suggests that there are distinct differences in the quality of the HD
signal across these neural regions. Although Taube et al. (1990a)
reported two HD cells in the PoS that discharged at higher firing rates
as the head turned either CW or CCW toward the preferred direction,
these two cells were a distinct minority because they were the only two
cells of 61 recorded HD cells that were modulated by turning direction.
It is also noteworthy that the differences in LMN HD cell-firing rates
between cells recorded on the left and right sides of the brain are
consistent with the turning direction biases in the brainstem
vestibular nuclei firing rates. Specifically, Type I vestibular neurons
exhibit an increase in firing rates for horizontal angular head
acceleration to the ipsilateral side, as compared with the firing rates
during horizontal angular head acceleration to the contralateral side.
Thus, a Type I vestibular neuron on the right side of the brain
discharges at a higher rate during CW head turns than CCW head turns,
and a Type I vestibular neuron on the left side discharges at a higher rate during CCW turns than CW turns. Therefore, the differential rates
during CCW and CW head turns would provide a direction of head-turning
representation. Such a signal from the vestibular nuclei may be
conveyed to the LMN via the dorsal tegmental nucleus directly, or
indirectly through the nucleus prepositus (Liu et al., 1984 ).
A small number of head turn-modulated HD cells have been observed in
the retrosplenial and medial prestriate cortices (Chen et al., 1994 ).
However, the turn modulation observed for these cortical HD cells was
markedly different from the turn modulation reported here for LMN HD
cells. Whereas LMN HD cell discharge is modulated within the
directional firing range of the cell, HD cell discharge in these
cortical areas was modulated over all directional headings (compare
Fig.
4A,B
with Fig. 8C of Chen et al., 1994 ). The head turn modulation
of HD cell activity in these distinct brain areas suggests that LMN HD
cells are head turn-modulated HD cells, whereas those in the cortical
regions represent a dual code, signaling both head turn and directional
heading.

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Figure 5.
Parameter versus time shift plots for an LMN HD
cell. A, Peak firing rate; B, range
width; C, directional information content. The
dashed line in each plot represents the zero time shift.
Note that range width is plotted on a reversed y-axis
with values decreasing away from the origin. Comparison of the optimal
time shifts indicates that this cell exhibited a large positive optimal
time shift (in samples) for each parameter: peak firing rate, +7; range
width, +8, information content, +8. D-F,
Frequency distribution histograms of different optimal time shifts of
17 LMN HD cells, for peak firing rate (D), range
width (E), and information content
(F). The overall mean optimal time shift across
all cells and parameters was 5.74 samples and indicates that the
optimal firing of LMN HD cells anticipated the rat's directional
heading by 95.8 msec.
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LMN HD cells exhibit anticipatory directional firing
Optimal time shift analyses
Previous studies have shown that the temporal relationship of cell
firing to the rat's head direction differs across HD cells recorded
from the PoS and ADN (Blair and Sharp, 1995 , Blair et al., 1997 , Taube
and Muller, 1998 ). Specifically, HD cells in the ADN appear to encode
the rat's future directional heading by ~25 msec, whereas HD cells
in the PoS encode the rat's present or recent past directional
heading. Of the 20 HD cells recorded from the LMN, a second HD cell was
recorded simultaneously on the same electrode wire for three cells.
Because the tuning curves of these simultaneously recorded cells
partially overlapped one another, the accuracy of the time shift
analysis is likely to be compromised for these cells, and they were
therefore excluded from the following analyses.
Time shift analyses were conducted on a representative session for each
of the remaining 17 LMN HD cells. Figure 5A-C
illustrates an example of the optimal time shifts of an LMN HD cell for
each of the three parameters. For this cell, the optimal time shifts for peak firing rate, range width, and information content were +7, +8,
and +8 samples, respectively. Note that range width is plotted on a
reversed y-axis with values decreasing away from the origin.
The mean optimal time shifts for LMN HD cells were: peak firing rate,
+6.12 samples; range width, +5.41 samples; and directional information
content, +5.71 samples. Therefore, the mean overall optimal time shift
for LMN HD cells is +5.74 samples (95.8 msec) and is considerably
larger than the 25 msec value previously reported for ADN HD cells. The
distributions of optimal time shifts for each measure are illustrated
in Figure 5D-F. These plots indicate a
considerable degree of variation in optimal time shift values, although
it is apparent that the firing parameter measures are optimal at
positive time shifts, indicating that the firing of LMN HD cells
anticipates the rat's future head direction. For comparison, the
optimal time shifts for the ADN and PoS HD cell populations are
presented in Table 2. Consistent with
previous reports, this sample of PoS HD cells exhibited an average
optimal time shift near zero, whereas ADN HD cells exhibited a positive optimal time shift. One-factor ANOVAs revealed significant regional differences in the optimal time shifts of all measures: maximum peak
firing rate, F(2,52) = 28.07, p < 0.0002; minimum directional range width,
F(2,52) = 26.11, p < 0.0002;
maximum directional information content, F(2,52) = 21.50, p < 0.0002. Post hoc tests indicated that the optimal time shift values of LMN cells were significantly greater than that of PoS and ADN cells for each of the
three measures and that the optimal time shifts for ADN HD cells were
significantly greater that of PoS HD cells.
To facilitate comparison of the optimal time shift values across neural
regions, each parameter was normalized and plotted as a function of
time shift interval. Every value was then normalized relative to the
value corresponding to the optimal time shift. The resulting normalized
data for all cells from a given region were then averaged. Finally,
these averaged values were normalized again by the mean optimal value
to produce mean normalized values for each time shift. With respect to
the range width, the reciprocal values were computed before normalizing
to simplify comparison of the range width data to that of peak firing
rate and information content. The same analytical procedures were used
to evaluate differences in the temporal relationship between PoS and
ADN HD cell firing (Taube and Muller, 1998 ).
The mean normalized values for peak firing rate, reciprocal range
width, and information content as a function of time shift interval for
all LMN HD cells are depicted in Figure
6A-C. The time shift interval associated with the maximal value for each firing
parameter measure is +4, +5, and +6 for peak firing rate, reciprocal
range width, and information content, respectively, and is consistent
with the optimal values determined from computing the means. The mean
normalized plots for LMN HD cells are presented again in Figure
6D-F, together with the mean normalized
data for each firing parameter for PoS and ADN HD cells. Across all
three firing parameters, these plots illustrate that the degree of time shift necessary to produce the optimal firing value is greatest for LMN
HD cells, followed by ADN HD cells. The marked differences in the
anticipatory nature of HD cells across the PoS, ADN, and LMN are an
intriguing finding. It is possible that the increased optimal time
shift of LMN HD cells reflects a coarser coding of directional heading.
Our data demonstrating the broader directional tuning of LMN cells as
compared with those from ADN and PoS and the fact that LMN HD cell
discharge rates are altered by multiple influences (speed and direction
of head turning) are consistent with this view. However, it is also
possible that the broader directional firing range is simply a
consequence of the greater optimal time shift. In accordance with this
view, we have found that across all three brain regions (PoS, ATN, and
LMN), there is a strong positive correlation between the directional
firing range of an HD cell and its optimal time shift value,
r = 0.59. In sum, these results indicate that cell
firing for both LMN and ADN HD cells anticipates the animal's future
directional heading and that LMN HD cell firing anticipates the
animal's directional heading by a larger amount than ADN HD cells (95 compared with 25 msec).

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Figure 6.
Normalized optimal time shift plots for the three
parameters averaged across all LMN HD cells. A, Peak
firing rate; B, reciprocal range width;
C, directional information content. Plots
D-F compare the graphs from LMN HD cells
(filled circles) with graphs from PoS
(open circles) and ADN (plus
symbols, dashed line) HD cells. These plots were
constructed by normalizing the optimal function for each cell and then
averaging across all cells of a given region. The resulting averaged
function was then normalized a second time. Note that for all
parameters, the optimal time shift for PoS cells is either negative or
zero, and the optimal time shifts for ADN and LMN cells are positive.
The plots for LMN cells indicate that they are shifted a little to the
right of the plots for ADN cells.
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Distinct preferred directions during CCW and CW head turns reveals
anticipatory firing
The results of the optimal time shift analyses demonstrate that
LMN HD cell firing anticipates the future directional heading by ~95
msec. Using a different analytical approach, Blair and Sharp (1995)
reported that ADN HD cells anticipate the rat's future directional
heading by ~25 msec. Their analysis was based on the observation that
an ADN HD cell exhibits distinct preferred firing directions during CW
and CCW head turns. This effect can be seen by studying the CW and CCW
tuning curves for the LMN HD cells depicted in Figure 4, A
and B. Note that in addition to the distinct peak firing
rates the preferred firing direction for the CCW function is shifted to
the left of the CW function. Such shifts during CW and CCW head turns
indicate that the peak discharge rate of LMN HD cells is best
associated with the animal's future directional heading. The mean for LMN HD cells was +25.03 ± 2.63° (range, 9.20-46.74°),
which is consistent with the results of the optimal time shift analyses
described above. For comparison, the mean values for LMN, PoS, and
ADN HD cells are presented in Table 2. A one-factor ANOVA yielded a
significant effect of region on separation angle
(F(2,52) = 11.82; p < 0.0002).
Post hoc tests indicated that the values for LMN
cells differed significantly from those of PoS cells but not from those
of ADN cells. In addition, the analyses revealed significant
differences between the PoS and ADN HD cells. Although there was no
post hoc difference between LMN and ADN HD cells, LMN
HD cells did have a higher mean value than ADN HD cells.
Stability and cue card stimulus control
In the presence of the salient white cue card LMN HD cells
displayed stable preferred directions between distinct "standard" sessions. The preferred firing direction of LMN HD cells was also stable over days. For example, analysis of one cell recorded each day
across 4 consecutive days showed that the cell maintained its preferred
direction within ± 12°.
To evaluate the degree to which the polarizing cue card exhibits
stimulus control over the preferred firing direction of LMN HD cells,
we tested the responses of 16 cells after 90° rotation of the cue
card. For most LMN HD cells, a 90° rotation of the cue card led to a
corresponding shift in the preferred firing direction of the HD cell,
with little change in the peak firing rate or directional firing range.
All cells shifted their preferred direction at least 60° after the
90° cue rotation. The mean absolute deviation from the expected 90°
CCW shift was 12.0 ± 2.5° (range, 0-30°). Of the 16 cells,
the preferred direction shifted >90° for nine cells (over-rotation),
shifted <90° for three cells (under-rotation), and shifted exactly
90° for four cells. When the cue card was returned to the standard
position during the final standard session, the preferred firing
directions of most cells shifted back to their initial values. The
overall mean absolute deviation between the two standard sessions was
25.88 ± 11.93° (range, 0-144°). This mean deviation was
influenced by the data from three cells that exhibited deviations
between the two standard sessions of 66, 138, and 144°. If the data
from these three deviant cells was removed, the mean absolute deviation
between the two standard sessions was 5.1 ± 1.6° (range,
0-18°). In general, the responses of LMN HD cells after rotations of
the cue card were similar to findings reported for ADN (Taube, 1995 )
and PoS HD cells (Taube et al., 1990b ), demonstrating that the cue card
exhibits strong stimulus control over the preferred firing directions
of LMN HD cells.
Head pitch cells
The 14 cells classified as head pitch cells were recorded from
three rats and were isolated from both left and right sides of the LMN.
The firing rates of head pitch cells were independent of head
direction. Qualitatively, most head pitch cells exhibited maximal
firing when the rat pitched its head toward the ceiling (i.e., positive
pitch). Discharge was not dependent on rearing, movement, food pellet
consumption, or the rat's location within the cylinder. Pitch cells
also continued to discharge while the rat was loosely wrapped in a
towel and positioned in various body orientations with its head
oriented toward the ceiling (i.e., head pitched up, body parallel with
floor, etc.). The results of these assessments suggest that head pitch
cell firing is independent of the rat's body position, indicating that
head pitch cell firing cannot be attributed solely to the activation of
neck proprioceptors.
Of the 14 LMN head pitch cells recorded, 13 cells exhibited maximal
discharge during head pitch in the positive direction (i.e., toward the
ceiling); the remaining cell fired maximally when the rat's head was
pitched 12° vertical (i.e., toward the floor). Visual observations
of the rat indicated that this cell exhibited peak firing only when the
head pitch was 12° vertical and not when the head was +12°
vertical. For each cell, we determined the preferred firing pitch as
the head pitch at which the cell exhibited its maximal discharge rate.
Figure 7A-C
illustrates firing rate by head pitch-tuning functions for three
representative LMN head pitch cells. The preferred firing pitch of
these cells was +80, +74, and +80°, respectively. Although head pitch
values of 40° were contaminated by samples when the head was
pitched down (see Materials and Methods), note that all three cells
depicted in Figure 7A-C exhibited peak discharge
rates when the head was pitched >40°. It is therefore unlikely that
the high discharge rates above 40° are attributed to instances of
negative head pitch (i.e., head pitch down).

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Figure 7.
Firing rate as a function of head pitch for three
representative nondirectional LMN head pitch cells
(A-C). Plots were generated from spike
rate and head pitch (in 4° bins) data collected during 16 min
recording sessions. The preferred pitch (the head pitch value at which
the cell discharged maximally) for each cell was 80°
(A); 74° (B); and 80°
(C). In each plot, the vertical dashed
line represents the approximate cut-off indicating that head
pitch values below 40° were contaminated by negative head pitch
values (i.e., pitching the head toward the floor). With respect to the
cell depicted in B, no sampling occurred in head pitch
bins >74° during the entire 16 min recording session. Head pitch
values above 40° represent only positive head pitch values (i.e.,
pitching the head toward the ceiling) (see Results for details).
D, Histogram depicting the frequency distribution of
preferred pitch values for the 14 LMN head pitch cells.
E-G, Firing rate versus head
direction-tuning functions for the three LMN head pitch cells depicted
in A-C.
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In general, the firing rate by head pitch-tuning functions indicate a
nonlinear relationship between firing rate and head pitch.
Specifically, most head pitch cells exhibited a minimal, if any,
increase in firing rate as head pitch increased from 0 to 40°, and a
considerable increase in firing rate as head pitch increased from 40°
to 80° (e.g., head pitch-tuning functions depicted in Fig.
7A,C). It is difficult to draw
inferences regarding the linearity of the head pitch-tuning functions,
given that head pitch values <40° are contaminated by negative pitch
values. Quantitative measures of background firing rate and peak firing
rate were determined from the firing rate by head pitch-tuning function
of each cell. Background firing rate was taken as the mean firing rate
for all head pitch data points <40°. The background firing of the
one head pitch cell with a preferred pitch of 12° was taken as the mean firing rate for all data points >40°. The mean background firing rate for all 14 head pitch cells was 13.21 ± 3.63 spikes/sec (range, 0.61-46.47 spikes/sec). The mean peak firing rate
of all LMN head pitch cells was 36.89 ± 6.86 spikes/sec (range,
5.22-76.44 spikes/sec). Figure 7D presents the frequency
distribution of preferred firing pitches across the 14 head pitch
cells. The frequency distribution indicates the greater likelihood of
finding cells exhibiting preferred pitch values close to the maximal
positive pitch (i.e., +90° vertical).
To assess the degree to which head pitch cells might convey information
regarding head direction, we determined the directional information
content value for each LMN head pitch cell. The mean directional
information content of the head pitch cells was 0.10 ± 0.03 (range, 0.01-0.45). A t test revealed that the mean
directional information content value of head pitch cells was
significantly different from that of LMN HD cells (t(30) = 4.42; p < 0.0001). Furthermore, observation of
firing rate by head direction plots for head pitch cells failed to
indicate any relationship between the two variables. Figure
7E-G illustrates the HD by firing rate tuning
functions for the three head pitch cells depicted in Figure 7A-C. These results indicate that a
subpopulation of LMN neurons encode the extent of head pitch,
independent of head direction.
We also assessed whether the discharge of LMN HD cells and angular head
velocity cells (see below) were influenced by head pitch. Head pitch by
firing rate plots were generated for both LMN HD and AHV cells. None of
the plots showed any indication that these cells were modulated by head
pitch. Figure
8A-C
illustrates representative firing rate by head pitch plots for an LMN
HD cell (Fig. 8A) and for AHV cells (Fig.
8B,C).

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Figure 8.
Firing rate versus head pitch-tuning functions for
an LMN HD cell (A), an LMN slow angular head
velocity cell (B), and an LMN fast angular head
velocity cell (C). These plots demonstrate that
the firing rates of LMN HD and angular head velocity cells were not
modulated by head pitch. The vertical dashed line
represents the approximate cut-off indicating that head pitch values
below 40° were contaminated by negative head pitch values (see
Results for details).
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AHV cells
The firing of AHV cells was directly proportional to the rat's
angular head velocity. The discharge rates of these cells did not
appear to be modulated by the rat's head pitch, directional heading,
or by its spatial location in the cylinder. The AHV cells were recorded
from 12 rats, from both the left and right sides of the LMN. Firing
rate by angular head velocity plots indicated that there were two
distinct populations of LMN AHV cells: (1) one group, termed slow AHV
cells (n = 18), exhibited a negative correlation
between firing rate and AHV (mean r = 0.82), that is,
firing rates decreased with faster head turns; and (2) a second group,
termed fast AHV cells (n = 20), exhibited a positive
correlation between firing rate and AHV (mean r = 0.89), that is, firing rates increased with faster head turns. The
relationships of angular velocity and firing rate for these two AHV
cell types were consistent across CW and CCW head turns, such that fast
AHV cells, exhibited increased firing rates as angular head velocity
increased from 0 to 270°/sec in either CW or CCW directions. Figure
9, A and B, depicts
representative firing rate by angular velocity tuning functions for a
slow AHV cell (Fig. 9A) and for a fast AHV cell (Fig.
9B). As these figures demonstrate, the relationship of AHV cell-firing rate to angular velocity was maintained whether the rat's
head was turning CW or CCW. Figure 9C illustrates the
influence of absolute angular head velocity (the data from CW and CCW
head turns combined) on the firing rates of the two types of LMN AHV cells averaged across all cells for that category. This graph depicts
the mean normalized firing rate ± SEM for all slow AHV cells and
for all fast AHV cells, determined by dividing the firing rates of each
cell for each angular velocity interval by the mean firing rate of that
cell during the recording session.

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Figure 9.
Influence of AHV on the firing rates of two
populations of nondirectional LMN AHV cells. A,
B, Firing rate as a function of angular velocity tuning
functions of a slow AHV cell (A) and of a fast
AHV cell (B). Firing rates were determined for
each angular head velocity and grouped into 90°/sec intervals.
Negative values refer to CW head turns, and positive values refer to
CCW head turns. C, The firing rates of slow AHV cells
(solid line, open circles) decreased with
faster head turns, whereas the firing rates of fast AHV cells
(dashed line, filled triangles) increased
with faster head turns. The absolute values of angular velocity
(clockwise and counterclockwise) were grouped into the four intervals
shown, and the mean firing rates were determined for each interval. The
plot depicts the mean normalized firing rate ± SEM for slow AHV
cells and for fast AHV cells, determined by dividing the firing rates
of the cell for each angular velocity interval by the mean firing rate
of that cell during that particular recording session. Post
hoc multiple comparisons tests revealed significant differences
between slow AHV cells and fast AHV cells at each of the four angular
head velocity intervals. For graphical clarity, asterisks to indicate
significant differences were omitted from this plot. D,
Representative firing rate by HD-tuning functions for a slow AHV cell
(solid line) and a fast AHV cell (dashed
line). The plot indicates that neither AHV cell was modulated
by the rat's directional heading.
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To quantitatively analyze AHV cells, slow AHV cells and fast AHV cells
were treated as independent groups. For each AHV cell, angular head
velocity was correlated with the mean firing rate of the cell over a
five sample episode. For both AHV cell types, t tests
revealed that the respective correlation values were not likely to
arise from populations with expected values of zero (slow AHV cells:
t(17) = 26.00, p < 0.0002; fast AHV cells:
t(19) = 49.42, p < 0.0002). Despite the
distinct firing correlates of the two types of AHV cells, the maximal
observed firing rates did not differ between the two cell groups
(t(36) = 0.85, NS) (slow AHV cells = 14.37 spikes/sec;
fast AHV cells = 18.08 spikes/sec). A two-factor repeated measures
ANOVA [AHV cell type (slow, fast), angular head velocity interval]
revealed a significant effect of AHV cell type
(F(1,36) = 64.42; p < 0.002), a
significant AHV cell type × angular head velocity interval
interaction (F(3,108) = 42.44; p < 0.0002), but a nonsignificant effect of angular head velocity
(F(3,108) = 1.21, NS). Post hoc
tests indicated that at each angular head velocity interval there was a
significant difference in firing rate between slow AHV cells and fast
AHV cells. These results indicate the presence of two distinct
populations of LMN cells whose firing rates are differentially
modulated by angular head velocity. Previous studies have demonstrated
the existence of a small population of cells in the PoS that exhibit firing rates modulated by angular velocity, independent of the animal's directional heading (Sharp, 1996 ).
To assess the degree to which AHV cells might convey information
regarding head direction, we determined the directional information content value and firing rate by head direction-tuning functions for
each LMN AHV cell. The mean directional information content of the AHV
cells was 0.06 ± 0.01 (range, 0.005-0.52) [the mean for slow
AHV cells was 0.07 ± 0.03, and the mean for fast AHV cells was
0.05 ± 0.01]. Figure 9D illustrates representative
firing rate by HD tuning functions for a slow AHV cell and for a fast AHV cell. All but one of the AHV cells failed to exhibit directional firing. The remaining AHV cell, with a directional information content
value of 0.52, appeared to exhibit inconsistent directionality. Specifically, this AHV cell exhibited directional firing in two 6°
bins during an initial recording session, but during a subsequent recording session, this cell failed to exhibit directional firing. Examination of firing rate by HD plots for all other AHV cells failed
to indicate any relationship between the two variables. Furthermore, a
t test revealed that the mean directional information content value of AHV cells was significantly different from that of LMN
HD cells (t(56) = 7.81; p < 0.0001).
Taken together, these results indicate that a subpopulation of LMN
neurons encode angular head velocity, independent of head
direction.
We also assessed the degree to which the firing rates of head pitch
cells were influenced by angular head velocity. Interestingly, firing
rate by angular head velocity analysis of the 14 head pitch cells
yielded a mean rav value of 0.41. Furthermore,
inspection of individual firing rate by angular velocity plots
indicated that 6 of the 14 head pitch cells exhibited a negative
correlation between firing rate and angular velocity (mean
rav = 0.92), that is, firing rates decreased
with faster head turns; whereas the remaining eight head pitch cells
exhibited a positive correlation between firing rate and angular
velocity (mean rav = 0.70), indicating that
firing rates increased with faster head turns. Thus, head pitch cells
appear to convey information regarding both pitch and angular velocity
of the head.
 |
DISCUSSION |
This experiment was designed to determine the firing properties of
LMN single units in the freely moving rat. The rationale was based on
neuroanatomical evidence indicating that the LMN may be a component of
an alternate pathway by which vestibular signals access the HD cell
circuitry and that LMN send and receive projections to and from
structures containing HD cells. Our results demonstrate the existence
of at least three classes of spatial signals within the LMN: (1)
neurons that discharge as a function of head direction in the
horizontal plane, irrespective of spatial location (HD cells), (2)
neurons that discharge as a function of head pitch in the vertical
plane (head pitch cells), and (3) neurons that discharge as a function
of angular head velocity (AHV cells). Compared to HD cells recorded
from the PoS and ADN, the LMN HD cells were found to exhibit
significantly higher peak firing rates and greater directional firing
ranges. The wider directional firing range of LMN HD cells suggests a
more coarse coding of directional heading by the LMN than that
represented by PoS or ADN HD cells.
Two aspects of head-turning behavior were found to influence LMN HD
cells. First, although LMN HD cells discharged from both CW and CCW
directions as the rat's head approached the preferred direction,
firing rates were higher for one direction of turn. Furthermore, this
modulation correlated with the side of the LMN the cell resided, with
right LMN cells having higher firing rates for CW head turns and left
LMN cells having higher firing rates for CCW head turns. Second, LMN HD
cells were modulated by angular velocity, such that firing rates
increased during faster head turns. Therefore, the firing rates of LMN
HD cells reflect both the current angular head velocity and the
direction (CW, CCW) of head turning. Although angular head velocity
modulation of HD cells is apparent in the ADN but not in the PoS, HD
cells in neither of these areas encode for head turn direction (Taube, 1995 ; Blair and Sharp, 1995 ).
In addition to the angular velocity modulation of HD cells, we recorded
nondirectional LMN units whose discharge properties were also
influenced by angular velocity. A small population of cells with
similar response properties have been recorded from the PoS (Sharp,
1996 ). Given that a large percentage of LMN neurons exhibited firing
rates influenced by angular velocity, perhaps one of the primary
functions of the LMN is to process angular velocity information and
integrate it with directional heading information encoded by LMN HD
cells. Indeed, it has been hypothesized that the integration of angular
velocity information from the vestibular system is necessary for the
maintenance of an internal representation of directional heading in the
absence of familiar landmark cues (McNaughton et al., 1991 , 1996 ;
Redish et al., 1996 ). Cells present in the LMN coding for HD and AHV
enable the representation of these two pieces of information.
McNaughton et al. (1996) , Samsonovich and McNaughton (1997) , and Redish
et al. (1996) have postulated similar system level models that are
capable of updating an animal's current location and directional
heading as it moves through the environment. In the McNaughton et al.
(1996) model, the HD cell system is based on an attractor network that
is modulated by two types of input: (1) HD by rotation cells [referred
to as H'H cells (cells that discharge in relation to both azimuth and
the direction of head rotation in the horizontal plane) in their Fig.
5] and (2) an external sensory landmark system, which is primarily
visual. The HD by rotation signal is composed of inputs from AHV cells,
derived primarily from vestibular information, and reciprocal
connections from HD cells. Our present data indicate that the basic
components of this architecture are present within the LMN. For
example, the LMN HD cells that were modulated by turn direction contain the characteristics required of HD by rotation cells, although it is
noteworthy that not all LMN HD cells were modulated by turn direction.
Furthermore, the properties of LMN AHV cells reflect the type of
information that is projected onto HD by rotation cells. Our previous
findings that labyrinthectomies abolish ADN HD cell firing (Stackman
and Taube, 1997 ), along with the findings that the ADN receives a dense
projection from the LMN (Hayakawa and Zyo, 1989 ; Shibata, 1992 ; Guison
et al., 1995 ), also provide support for this hypothesis. Because the
connectivity of HD and AHV cells within the LMN, as well as with the
ADN, is unknown, one can only speculate about the degree to which these
cell types communicate with one another both within a given structure
and across structures. It will be important for future studies to determine how these spatial cells are interconnected with one another.
Finally, current models of the HD cell system only include AHV cells of
the fast AHV type, and future models will need to include cells
containing slow AHV characteristics.
The neuroanatomical connections between brainstem vestibular nuclei and
LMN HD and AHV cells are not well known. However, the differences in
response properties of neurons in the left and right vestibular nuclei
during ipsilateral and contralateral head turns could provide distinct
turn-modulated input to the LMN, as described above in the Results.
Because ADN HD cells do not exhibit turn-modulated firing rates, it is
conceivable that the bilateral LMN innervation of the ADN conveys
turn-modulated LMN HD cell output to the ADN on both sides of the
brain, resulting in net input to the ADN that is devoid of distinct
head-turning information. However, this possibility stands in contrast
to current theoretical models that were designed to account for the
anticipatory properties of ADN HD cells (Redish et al., 1996 ; Blair et
al., 1997 ).
Differential input from LMN AHV cells to LMN HD cells might be
responsible for the angular velocity modulation of LMN HD cells. Specifically, angular velocity modulation of HD cell-firing rates could
be produced if LMN HD cells were inhibited by slow AHV cells and
excited by fast AHV cells. It is also possible that similar output
connections of slow AHV and fast AHV cells to the ADN could support
angular velocity modulation of ADN HD cells.
HD cells in the ADN and PoS are considered to be essential components
of a neural circuit (as outlined in Fig.
10) that supports landmark-based
navigation and inertial navigation (path integration) (Barlow, 1964 ;
Gallistel, 1990 ; see Taube et al., 1996 for a review of relation of HD
cells to navigation). As mentioned earlier, vestibular input to the HD
cell circuit is necessary for the directional discharge of ADN HD cells
(Stackman and Taube, 1997 ). The present results identify two mechanisms
whereby vestibular information may be conveyed to the HD cell circuit.
Signals from LMN angular velocity-modulated HD cells and AHV cells
could be integrated in the ADN via the mammillothalamic tract as a
substrate for path integration. It is interesting to note that much of
the circuitry represented in Figure 10 is the well defined Papez
circuit (Papez, 1937 ). The Papez circuit, proposed to be critical for
emotional processes, was defined as a loop connecting the anterior
thalamic nuclei with the cingulate cortex, hippocampus, and mammillary bodies, with the mammillothalamic tract closing the loop back to the
anterior thalamus. Empirical evidence has instead implicated a role for
each of the Papez circuit structures in spatial learning and memory
processes (Aggleton et al., 1996 ; Neave et al., 1997 ; Sziklas and
Petrides, 1998 ). Furthermore, based on neurophysiological data it
appears that a neural network that may support spatial memory and
navigational processes is contained within the Papez circuit.

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Figure 10.
A schematic diagram illustrating the anatomical
connections among structures that may comprise a limbic circuit
processing allocentric spatial information. The heavily
outlined, shaded boxes represent structures from
which HD cells have been recorded; the striped boxes
represent structures containing neurons whose firing is dependent on
location (i.e., place cells). These two distinct cell types, conveying
representations of location and directional heading, may provide
information to support spatial memory and navigation. As discussed in
the introductory remarks, idiothetic cue sources, such as
vestibular information, may impinge on the HD cell-containing network
by way of projections from brainstem structures. Vestibular input is
critical for the ADN HD cell firing (Stackman and Taube, 1997 ), and
this diagram suggests a disynaptic pathway (MVN DTN LMN) by
which vestibular signals could influence the HD cell circuitry. In
contrast, landmark-based cue information might be conveyed to the HD
cell circuit via input from devoted cortical regions, such as the
visual, tactile, and auditory cortices, converging on the posterior
parietal cortex (PPC). The arrows between
boxes indicate the flow of information between
structures and are based on the anatomical literature.
ADN, Anterior dorsal nucleus of thalamus;
DTN, dorsal tegmental nucleus; EC,
entorhinal cortex; HPC, hippocampus; LDN,
lateral dorsal nucleus of thalamus; LMN, lateral
mammillary nucleus; MVN, medial vestibular nucleus;
PoS, postsubiculum; PPC, posterior
parietal cortex; RETg, retrosplenial granular cortex;
SUB, subiculum.
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The firing rates of LMH HD cells best reflected the animal's future
head direction by an average of ~95 msec. This value is considerably
more anticipatory than the +25 and 0 msec values reported for ADN and
PoS HD cells, respectively (Blair and Sharp, 1995 ; Blair et al., 1997 ;
Taube and Muller, 1998 ). Blair and Sharp (1995) proposed that
anticipatory ADN HD cell firing is accomplished by a thalamocortical
circuit that integrates current HD and angular head motion at the level
of the ADN. It is interesting to note that such angular path
integration of directional heading could also be achieved by the
integration of an angular velocity signal in the LMN with a current HD
signal via a direct input from the PoS to the LMN (Allen and Hopkins,
1989 ; Shibata, 1989 ).
Both the anatomical data and the time shift analyses suggest that the
flow of information for the generation of the HD cell signal in the PoS
may be LMN ADN PoS. In support of this possibility, Goodridge
and Taube (1997) reported intact ADN HD cell firing after PoS lesions;
however, the ADN HD cells exhibited wider directional firing ranges and
larger optimal time shifts and suggest that the firing properties of
ADN HD cells in PoS-lesioned rats are more consistent with properties
of LMN HD cells. Without PoS input, ADN HD cells may be more influenced
by the anticipatory and directional firing properties of LMN HD cells.
To fully appreciate the nature of mammillary involvement in the
generation of the HD cell signal, it would be interesting to record PoS
and ADN HD cells in rats after lesions or temporary inactivation of the
LMN.
The exciting finding of head pitch cells in the LMN provides further
support that LMN units represent the relative head position in both
horizontal and vertical planes, and in allocentric as well as
egocentric reference frames. The head pitch cell-firing properties were
stable over the entire surface of the cylinder floor and across several
recording sessions. Based on our assessments, we feel that it is likely
that this class of cells is responding to head pitch and not some
artifact of the recording environment. Although it is tempting to
speculate that a population of LMN head pitch cells encodes the rat's
head orientation in the vertical dimension, our finding that the
majority of head pitch cells exhibited peak firing rates when the rat
oriented its head near 90° vertical, argues against this notion.
Indeed, the skewed distribution of the preferred pitch frequency
histogram suggests that head pitch cells encode other types of
information, and the functional significance of these cells remains
unclear. For this reason it will be important for future studies to
explore the sensory and motor properties which control their activity.
Finally, although one could speculate about the existence of cells that
receive input from both HD cells and head pitch cells, thereby
providing a head direction by head pitch representation, none of the
LMN HD cells we recorded were modulated by head pitch.
In conclusion, the present study determined that populations of rat LMN
cells encode directional heading, angular head velocity, and head
pitch. The discharge properties of LMN HD cells appear to be somewhat
different from those of PoS and ADN HD cells. Specifically, LMN HD
cells have wider firing ranges, are modulated by angular velocity and
turn direction, and exhibit larger anticipatory properties than ADN and
PoS HD cells. The robust firing of LMN AHV cells and head pitch cells
indicates that neurons within the LMN code additional aspects of
angular head motion and head position. Given the presence of strong
interconnections between the LMN, ADN, and PoS, it is likely that these
types of LMN cells influence the output of the HD cell circuitry and
may be particularly relevant for spatial information processing.
 |
FOOTNOTES |
Received June 9, 1998; revised Aug. 5, 1998; accepted Aug. 11, 1998.
This work was supported by the National Institute on Deafness and Other
Communication Disorders Grant DC00236 to R.W.S., and the National
Institute of Mental Health Grants MH48924 and MH01286 to J.S.T. We
thank M. Tullman and C. Leonhard for assistance with training rats and
recording single units, and Dr. Jeremy Goodridge for numerous lengthy
discussions of these data.
A preliminary report of this research was presented at the 26th Annual
Society for Neuroscience meeting in Washington, DC in 1996.
Correspondence should be addressed to Dr. Jeffrey S. Taube, Department
of Psychology, Dartmouth College, 6207 Gerry Hall, Hanover, NH
03755-3549.
 |
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