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Volume 16, Number 21,
Issue of November 1, 1996
pp. 6987-6998
Copyright ©1996 Society for Neuroscience
Hierarchical Organization of Auditory Temporal Context
Sensitivity
Michael S. Lewicki and
Benjamin J. Arthur
Computation and Neural Systems Program, California Institute of
Technology, Pasadena, California 91125
ABSTRACT
INTRODUCTION
MATERIALS AND METHODS
RESULTS
DISCUSSION
FOOTNOTES
REFERENCES
ABSTRACT
Some of the most complex auditory neurons known are contained
in the songbird forebrain nucleus HVc. These neurons are highly
sensitive to auditory temporal context: they respond strongly to the
bird's own song, but respond weakly or not at all when the sequence of
the song syllables is altered. It is not known whether this property
arises de novo in HVc or whether it is relayed from the
properties of neurons in afferent nuclei. To address this issue, we
recorded from neurons in both HVc and its afferent nuclei, collectively
called field L. Experimental tests were designed to determine the
degree of auditory context sensitivity in field L and HVc. Tests were
also performed to compare the responses to individual syllables and
syllable combinations to see whether these responses could account for
the response seen to the entire song.
Our results show a substantial increase in the auditory temporal
context sensitivity between field L and HVc. Most field L neurons
respond equally well both to normal song and to temporally manipulated
versions of the same song. A few field L neurons show sensitivity to
local temporal structure, such as the sequence of syllable pairs. In
contrast, HVc neurons are highly dependent on the song's local and
global temporal structure. This shows that HVc neurons can integrate
auditory context over periods much longer than neurons in field L and
suggests that additional mechanisms are required to explain the marked
sensitivity of HVc neurons to the temporal structure of the bird's own
song.
Key words:
hierarchical organization;
auditory response properties;
neural integration;
context sensitivity;
order sensitivity;
song
system;
field L;
HVc
INTRODUCTION
Neurons selective for complex stimuli occur
in high-order brain areas in most sensory systems, such as
face-selective neurons in the macaque monkey (Gross et al., 1972 ;
Perrett et al., 1992 ), neurons sensitive to combinations of pheromone
components in the Manduca moth (Christensen et al., 1989 ),
phase-amplitude combination-sensitive neurons in the electric fish
Eigenmannia (Heiligenberg, 1991 ), auditory space-specific neurons in
the barn owl (Knudsen and Konishi, 1978 ),
harmonic-combination-sensitive neurons in the moustached bat (Suga,
1994 ), and song-specific neurons in songbirds (Margoliash, 1983 ). How
the stimulus selectivities of these neurons are derived from
integration of information from lower-order simpler neurons is known
only in a few cases, but these successful examples show that both
bottom-up and top-down approaches can lead to the elucidation of the
underlying neural circuitry.
Song-specific neurons respond exclusively or preferentially to the
individual bird's own (autogenous) song (Margoliash, 1983 , 1986 ) and
are sensitive to the song's spectral and temporal structure: some
require combinations of harmonics, similar to the frequencies contained
in autogenous song; others are sensitive to the temporal order of
sequences of these acoustic features and can integrate auditory
temporal context over several hundred milliseconds (Margoliash, 1983 ;
Margoliash and Fortune, 1992 ; Lewicki and Konishi, 1995 ).
The circuitry by which song selectivity is established is not
known. The song nucleus HVc is the first known site containing
song-specific neurons (Margoliash, 1986 ). As detailed in Figure
1, there are several nuclei afferent to HVc, but it is
believed that the primary source of auditory input is the forebrain
field L areas L1 and L3, which are thought to connect to HVc through
HVc dendrites that extend into the ``shelf'' region (Katz and Gurney,
1981 ; Fortune and Margoliash, 1995 ; Vates et al., 1996 ). Areas L1 and
L3 may also send sparse direct projections (Fortune and Margoliash,
1995 ; Vates et al., 1996 ) into HVc. The response properties of
song-specific neurons in HVc are likely to be the result of the
integration of neurons with simpler tuning properties, but it has not
been established whether the neurons with simpler tuning properties
also arise in HVc or are already present in the areas of field L.
Fig. 1.
A simplified diagram of the song system.
Dashed lines indicate indistinct anatomical borders. Areas
L1, L2a, L2b, and L3 are collectively called
field L. The primary source of auditory input to HVc (via
the shelf) is areas L1 and L3 (Kelley and
Nottebohm, 1979 ; Fortune and Margoliash, 1995 ; Vates et al., 1996 ).
Thalamic auditory areas project primarily throughout L2a and
L2b (L2b connection not shown) (Vates et al., 1996 ). The
other nuclei afferent to HVc, mMAN (medial magnocellular
nucleus of the anterior neostriatum), NIf (nucleus
interfacialis), and Uva (nucleus uvaeformis), have not been
characterized physiologically, although NIf and
Uva are thought to be involved in song production (McCasland,
1987 ; Williams and Vicario, 1993 ). The diagram also shows that HVc is
part of the descending motor control pathway; HVc projects to
RA (robust nucleus of the archistriatum), which directly
innervates the motor neurons of the vocal musculature in nXIIts
(tracheosyringeal part of the hypoglossal nucleus).
[View Larger Version of this Image (19K GIF file)]
As a population, field L neurons show no preference for the
autogenous song over other songs (Margoliash, 1986 ), but are sensitive
to spectral patterns (Leppelsack and Vogt, 1976 ; Leppelsack, 1978 ;
Scheich et al., 1979 ; Langner et al., 1981 ; Scheich, 1983 ), amplitude
and frequency modulation (Bonke et al., 1979 ; Leppelsack, 1983 ;
Müller and Leppelsack, 1985 ; Hose et al., 1987 ; Knipschild et
al., 1992 ; Heil et al., 1992 ), and the spectral and temporal patterns
of human speech sounds (Langner et al., 1981 ; Uno et al., 1991 ). These
tuning properties can account for some of the response properties of
HVc neurons, but it is not known whether field L contains neurons that
show the same capacity to integrate long periods of auditory context
that is seen in HVc neurons. The present paper makes a systematic
comparison between the response properties of field L and HVc neurons
that show a significant response to song so as to determine where the
neural response properties underlying the context-sensitive properties
of song-specific neurons are first computed.
MATERIALS AND METHODS
Surgery. Experiments were performed on 25 adult
(older than 120 d) male zebra finches (Taeniopygia
guttata) raised in our own colony. A few days before the
experiment, birds were anesthetized with Equithesin [0.03-0.04 ml
intramuscular injection (0.85 gm of chloral hydrate, 0.21 gm of
pentobarbital, 0.42 gm of MgSO4, 2.2 ml of 100% ethanol,
8.6 ml of propylene glycol, filled to a total volume of 20 ml with
water); all chemicals were purchased from Sigma (St. Louis, MO)], and
a small metal post, used to immobilize the head during later
physiological recordings, was cemented to the skull with dental cement.
One or two days later, the birds were anesthetized with urethane
(65-90 µl of a 20% solution, Sigma) for physiological
recordings.
Electrodes were lowered through a craniotomy that was made small (400 µm diameter) so as to minimize brain edema and pulsation. If neurons
were isolated in field L, the next electrode track was made into HVc
and vice versa so as to maximize the number of single neurons from
field L and HVc in each bird. Extracellular recordings were obtained
with parylene-coated tungsten electrodes with impedances (at 1.0 kHz)
ranging from 1 to 10 M (AM Systems, Everett, WA).
The anatomical locations of the recording sites were determined from
reference marks consisting of two or more electrolytic lesions ( 2 to
3 µA twice for 10 sec each) spaced at least 500 µm apart. At the
end of the experiment, birds were perfused transcardially with 0.9%
saline followed by 4% paraformaldehyde. Thirty micrometer frozen
sections were cut on a microtome, mounted, and stained with cresyl
violet for localization of lesions.
Spike analysis. Extracellular waveforms containing action
potentials of different shapes were sorted using a new real-time
software spike discrimination algorithm (Lewicki, 1994 ) that
automatically determines the spike shapes in the extracellular waveform
and accurately classifies overlapping action potentials. Otherwise,
single units were isolated with conventional methods using a level or
window discriminator. Spike classes that were not stable throughout the
experiment were omitted from the analyses.
Stimuli. Before each experiment, the autogenous song was
recorded, digitized, and analyzed on a DSP Sona-graph 5500 (Kay
Elemetrics, Pinebrook, NJ) and on a computer using custom software
(written by M.S.L., Dr. Larry Proctor, and Dr. James Mazer). The
bird's own song was used as a search stimulus in both field L and HVc.
Well isolated single neurons were selected for further analysis only if
they demonstrated a significant response to song. Because the purpose
of the present study was to compare the relative sensitivity to
temporal structure between the field L areas and HVc, the general
selectivity of the song responsive cells was not determined. Previous
studies have shown that most (>90%) song-responsive HVc cells respond
more to the bird's own song than to other songs of the same species
(Margoliash, 1986 ). The electrode was advanced at least 150 µm
between isolated neurons.
Some of the stimuli used in these experiments were constructed by
manipulating the order of syllables and subsyllables in the autogenous
song. Four stimuli were used in the tests for context sensitivity:
forward song, reversed song (the song played backward), subsyllables in
reverse order, and syllables in reverse order. Syllable boundaries were
defined as points where the song's amplitude falls to zero.
Subsyllable boundaries were defined as places where the sonogram of the
song indicated an abrupt change in spectral composition. Typically,
this was a change in the harmonic pattern or a change in the direction
of the frequency modulation. An example of these divisions is shown in
Figure 2. An envelope (3 msec rise-fall) was placed
around each syllable and subsyllable to remove any transients. All
stimuli were presented in free field conditions in a sound-attenuating
chamber (Acoustic Systems, Austin, TX) with a calibrated speaker (JBL,
Northridge, CA). The frequency response of the speaker, as measured
from the bird's position in the stereotaxic apparatus inside the
chamber, was flat to within 8 dB between 500 and 8000 Hz. Stimuli were
presented with a peak amplitude between 60 and 70 dB SPL.
Fig. 2.
An illustration of the procedure for selecting
syllable pairs for performing the tests for temporal combination
sensitivity. The graphs show the response of an HVc cell in response to
the forward song (a) and to the syllables in reverse order
(b). The top of each graph shows the spike
rasters. The sonogram and oscillogram of the stimulus are shown
below. The solid and dotted vertical
lines indicate the syllable and subsyllable boundaries,
respectively. This divides the song into segments that are numbered
from left to right, counting both syllables and
the silent periods in between the syllables. The numbers
below the oscillogram indicate the segment numbers referred to in
the table. The table shows the song segments that had the
greatest difference (in terms of the p value of a paired
t test) between the response in the forward song and the
response to the song with the syllables in reverse order. Entries with
few spikes were omitted. In this example, there were 58 total spikes
during segment 12 during the forward song. The same syllable
elicited only 34 spikes in the context of the syllable-reversed song.
Thus, segments 10-12 (2 syllables, separated by a silent segment)
would be selected for presentation in isolation to test for temporal
combination sensitivity.
[View Larger Version of this Image (47K GIF file)]
An automated procedure was developed to select syllable pairs for which
a neuron would be likely to show order and combination sensitivity.
This procedure is illustrated in Figure 2. Syllable pairs were selected
by comparing the response to each syllable when presented as part of
the forward song to the same syllable as part of a song constructed by
playing the syllables in reverse order. The syllables (or subsyllables)
with the greatest statistically different responses (by a paired
t test) and the syllables (or subsyllables) preceding them
were selected to test for temporal combination sensitivity. This
yielded two syllables, A and B (and the intervening silent period),
which were presented in the following combinations: A, B, AB, BA, AA,
and BB. Syllables at the beginning of the song were not considered,
because significant differences can result simply from an onset
response. Sometimes more than two syllables were necessary to evoke a
response, in which case the set of syllables was divided into two
groups and manipulated as above.
The trials for both types of experimental tests were either
interleaved or randomized. No difference was observed between these
conditions. During the collections to measure the response to syllables
and syllable pairs, the response to forward song was also measured.
Cells that did not show a stable response to forward song were omitted
from the analysis. The collection duration was 5 sec for the song
stimuli and between 2 and 3 sec for syllables. For all trials, a delay
of at least 2 sec was inserted between each stimulus with an additional
random delay of up to 500 msec to minimize the effect of any
periodicity in the noise or in successive responses. This yielded an
effective interstimulus interval between 4 and 6.5 sec for song stimuli
and between 3 and 3.5 sec for syllables.
Data analysis. The response of a cell to autogenous song and
the synthetic songs was measured by the average spike rate
during the stimulus presentation minus the spontaneous rate. The
variation of the response is reported as mean ± SEM. For shorter
stimuli, such as single syllables, the time course of the response of
HVc neurons can be highly variable from neuron to neuron: some neurons
respond during the stimulus, and others respond well after the stimulus
has ended. This variability makes it difficult to determine exactly
when and how much a cell responded. We determined the regions of
significant response automatically by calculating where the spike rate
differed significantly from background by sliding a 50 msec window from
the start of the stimulus (plus latency) to the end of the collection.
Because a standard t test can inaccurately report
significant response regions when most or all of the window counts
across trials are zero, we determined statistical significance using a
Poisson model that takes into account the window size. Excitatory and
inhibitory regions were analyzed separately.
The statistical significance of the sensitivity to syllable order was
determined by comparing the total spike counts in the significant
response regions of syllable pairs AB and BA using a t test.
The significance of the sensitivity to syllable combinations was
determined using a t test to compare the sum of the spike
counts in the regions of syllables A and B to the spike counts from the
regions of AB.
RESULTS
We recorded from 52 well isolated neurons in HVc and 56 neurons in
the field L areas that had a significant response to song (shown in
Fig. 3). In the areas of field L, there were 8 well
isolated units in L1, 11 in L2a, 10 in L2b, 16 in L3, and 11 that
bordered two or more field L regions. Neurons that were on the border
between field L and non-field L areas, such as caudal neostriatum (NC)
and ventral hyperstriatum (HV), were omitted from the analysis. Both
phasic and tonic responses were seen in each of the areas. Cells in HVc
sometimes responded with bursts of action potentials. Bursting was
rarely observed in field L.
Fig. 3.
The anatomical sites of the neurons analyzed in
this study (note that because spikes were sorted using a software
discrimination algorithm, some sites may contain more than one isolated
neuron). The upper diagram shows the sites in HVc, and the
lower diagram shows the sites in field L. The average
medial-lateral position was 2.3 mm (range 1.8-2.65) for HVc and 1.5 mm (range 1.1-1.9) for field L. Area L2a of the field L
complex as well as HVc can be clearly identified in cresyl
violet-stained sections. The dashed lines indicate the
approximate anatomical areas as described by Fortune and Margoliash
(1992) .
[View Larger Version of this Image (15K GIF file)]
Comparison of context sensitivity in HVc and field L
The first set of experiments compares auditory context sensitivity
in field L and HVc. A cell is sensitive to the auditory temporal
context if the response at one point depends on previous parts of the
stimulus. For example, if a cell's response was determined solely by
spectral structure, then reversing the song should have little effect
on the response, because playing the song backward alters the temporal
structure but not the spectral structure. The response of song-specific
neurons to autogenous song is often abolished if the song is played
backward (Margoliash, 1983 ), indicating that these neurons are
sensitive to at least the local auditory temporal context.
The extent of the temporal context sensitivity was estimated by
reversing the order of segments of different lengths, i.e., by
comparing the response to forward song with the responses to reversed
song, subsyllables in reverse order, and syllables in reverse order.
This preserves the local spectral and temporal structure within each
segment, but alters the global auditory context in which each segment
occurs.
The response of a typical HVc neuron is shown in Figure
4a. This particular neuron shows a strong
response to forward song (22.78 ± 4.32 spikes/sec) and is
slightly inhibited by the reversed song ( 2.01 ± 0.09 spikes/sec). The response is also greatly reduced when the order of the
subsyllables or syllables is reversed ( 1.30 ± 1.61 and
3.98 ± 2.44 spikes/sec, respectively). The differences between
the response to forward song and to the synthetic songs are all
statistically significant (p < 0.001, paired
t test). Because the acoustic structure of each syllable or
subsyllable is identical to that in the forward song, this HVc neuron
is dependent on the auditory context which, in this case, extends
beyond a single syllable. Performing this analysis on the population of
HVc cells showed that about half of the neurons responded significantly
(p < 0.01) more to the forward song than to the
reverse song (28/52) or to the subsyllables in reverse order (26/52).
About one-quarter of HVc neurons responded more strongly to the forward
song than to the syllables in reverse order (12/52). About one-third of
the HVc cells (18/52) showed no statistical differences between the
response to the forward song and the response to the three temporally
altered songs. None of the cells in HVc responded more to any of the
three temporally altered songs than to the forward song. These data are
summarized in Figure 5.
Fig. 4.
The response of representative cells from HVc
(a) and field L (b) to autogenous song and three
manipulations of the song's temporal structure. The graphs show the
spike rasters and peristimulus time histograms of the response recorded
from two well isolated units. The oscillograms of the stimuli are shown
below each histogram.
[View Larger Version of this Image (31K GIF file)]
Fig. 5.
The bar graphs show the number of times the
response to forward song differed significantly from the response to
reversed song (r), to subsyllables in reverse order
(rss), or to syllables in reverse order
(rs).
[View Larger Version of this Image (58K GIF file)]
Neurons in field L showed much less sensitivity to manipulations
of the auditory temporal context than neurons in HVc. Neurons in all
areas of field L responded strongly throughout the forward song, the
reversed song, and to the syllables and subsyllables in reverse order.
The response of a typical field L neuron (in area L3) is shown in
Figure 4b. The differences between the response to forward
and the temporally altered songs is much less than in HVc (forward
song, 19.07 ± 0.74 spikes/sec; reversed song, 16.17 ± 1.18 spikes/sec; subsyllables in reverse order, 15.29 ± 0.76 spikes/sec; syllables in reverse order, 14.10 ± 0.55 spikes/sec).
A majority of field L cells (41/56) show no significant difference
(p > 0.01) between the response to the forward
song and the response to any of the three temporally altered songs.
These data are summarized in the bar plots in Figure 5.
Of the field L subdivisions, only L3 contained neurons that showed a
significant difference in response between the forward song and the
syllable-reversed song (6/16). Both L1 and L3 had neurons that showed a
significant difference between the forward song and
subsyllable-reversed song (1/8 and 4/16, respectively). All
subdivisions of field L had neurons that showed a significant
difference between the forward and reversed song (L2a, 3/11; L2b, 2/10;
L1, 1/8; L3, 5/16).
Although both field L and HVc contained cells that were
significantly dependent on the temporal order, the difference in
response rates between the forward song and the altered songs for these
cells was much greater in HVc. This difference in the response
properties of the two populations can be summarized by plotting the
response of the forward song against the response of altered songs.
Figure 6 shows that responses of the population of field
L neurons was largely the same for all four types of stimuli, but the
response of many neurons in HVc compared to forward song is greatly
reduced or inhibited when the temporal structure of the forward song is
altered. Each graph plots the response to forward song against the
response to the three temporally altered songs. In HVc, many of the
neurons responded much more to the forward song than to the temporally
altered songs. This is indicated on the graph in Figure 6a
by the large number of points above the line y = x (solid line). The further a point is above the
line, the greater difference in response. If a neuron shows no
sensitivity to auditory context, the responses to forward and the
temporally altered stimuli would be the same, and the points would fall
near the line y = x (solid line).
This is indeed the case for the field L data shown in Figure
6b.
Fig. 6.
The graphs show summary data for HVc
(a) and field L (b). Response is defined as the
average spikes/sec during stimulus minus the spontaneous rate. The
response to the forward song is plotted against the response to the
altered song. The solid diagonal line is y = x. a, Many neurons in HVc show a large
dependence on the song's temporal structure. b, In
field L, however, the response to the altered song is
typically similar in magnitude to the response to forward song.
[View Larger Version of this Image (19K GIF file)]
HVc neurons clearly show greater sensitivity to the auditory
temporal context than field L neurons. The difference between the HVc
and field L responses is statistically significant for forward versus
reversed song (p < 0.001, unpaired t
test), forward versus subsyllables in reverse order
(p < 0.001), and forward versus syllables in
reverse order (p < 0.05). A one-way ANOVA
indicated no statistical differences (p > 0.2, F test) among any of the field L areas between the forward
song and the temporally altered stimuli. Because there are relatively
few neurons in each of the field L subdivisions, these tests do not
rule out the possibility that more subtle differences among these areas
do exist.
Another way to see the difference between HVc and field L response
properties is to look at the time course of the responses. Figure
7 shows the average response to the forward song and the
three altered songs for HVc and field L neurons. The plots were
generated by computing for each cell the response in 50 msec time
windows over the duration of the collection. The average response was
computed by normalizing the time axis so that the song was from 0.0 and
1.0 and then averaging the response rates across cells. The average
response plots show that both HVc and field L neurons have an onset
response. For HVc cells, the average response to forward song builds up
during the course of the song, whereas the response attenuates during
the course of reverse song and the subsyllables and syllables in
reverse order. For field L neurons, the average response to the forward
song and the three altered songs is roughly the same. Neurons typically
have a strong onset response and accommodate at the same rate over the
course of all four types of stimuli.
Fig. 7.
The graphs show the average response for HVc and
field L areas, with the time axis normalized so that the song was from
0.0 to 1.0 (see text). a, The average response of HVc cells
builds up during the course of the forward song, but only has an onset
response to the other stimuli. b, The average responses in
field L were the same for all manipulations of the song with a strong
onset response in all cases.
[View Larger Version of this Image (32K GIF file)]
Comparison of order and combination sensitivity in HVc and
field L
The second part of this study addresses the question of whether
the auditory context sensitivity observed in song-specific neurons can
be accounted for by the response measured for syllables presented in
isolation. A cell is said to be combination-sensitive if the response
to a syllable pair AB is greater than the sum of the responses to
syllables A and B presented in isolation (Margoliash, 1983 ). Comparing
responses to AB and to BA determines whether a cell is sensitive to the
order of the syllables. Previous studies have shown that HVc neurons
are sensitive to the order and combination of syllables from the
autogenous song, a property called temporal combination sensitivity
(TCS) (Margoliash, 1983 ; Margoliash and Fortune, 1992 ), but it is not
known if such neurons are present in field L.
Figure 8a shows an example of a TCS neuron in
HVc. The syllables A and B were selected using the automated procedure
described in Materials and Methods. Because the response to AB is
significantly greater than the response to BA (p < 0.001, paired t test), this cell shows order sensitivity.
The cell also shows combination sensitivity, because the response to AB
is significantly greater than the sum of the responses to A and B
presented in isolation (p < 0.001). It is
possible that the response to the pair AB could be explained by a
nonspecific facilitation. For example, syllable A may facilitate the
response to any subsequent stimulus. Conversely, it is also possible
that any auditory stimulus facilitates the response to B. To test for
these possibilities, the present study also measured the responses to
repetitions of each syllable, AA and BB. This cell shows no response to
either, which provides further evidence that the cell is indeed
selective for the syllable combination AB.
Fig. 8.
To the left of each set of histograms
are the sonogram and oscillogram of the stimuli, which are syllables
selected from the autogenous song. a, A temporal
combination-sensitive (TCS) neuron from HVc. b, A field L
TCS neuron.
[View Larger Version of this Image (23K GIF file)]
In field L, temporal combination sensitivity was also observed despite
the lack of strong sensitivity to syllable order of the whole
autogenous song as reported in the previous section. Figure
8b shows an example of a TCS neuron in field L. This cell
shows order sensitivity, because the response to the syllable pair AB
was significantly greater (18.03 ± 2.52 spikes/sec,
p < 0.001) than the response to BA (6.23 ± 2.21 spikes/sec). This cell was also combination-sensitive, because the
response to AB was significantly greater than the response to the sum
of the responses to A and B in isolation (p < 0.001). The response to AB cannot be accounted for by facilitation by
syllable A because the syllable pair AA produces no response. This
cell, however, did show significant facilitation by syllable B
(p = 0.018), because the response to BB was
greater than twice the response to syllable B when presented alone. The
other two examples of temporal combination sensitivity seen in field L
(data not shown) showed strong responses to individual syllables and
syllable pairs (but still satisfied the criteria listed above). None of
the temporal combination sensitive units in HVc responded to individual
syllables in isolation.
Tests for order and combination sensitivity were performed on 31 and 42 well isolated neurons in HVc and field L, respectively. All of these
cells showed a significant response to autogenous song as determined
from the tests for temporal context sensitivity described in the
previous section. Cells that did not show a significant response to the
selected syllable pair AB when presented in isolation were not
analyzed. There were 26 neurons in HVc and 27 in field L that showed a
significant response to a syllable pair AB in isolation. Most of the
syllable pairs selected for HVc neurons produced a significant response
(26/31) compared to 27/42 in field L. This difference arises because
several field L neurons had a relatively weak, but statistically
significant, response to autogenous song. Subsequently, these neurons
did not produce a significant response to isolated syllables. Most of
the HVc neurons responded more strongly to autogenous song and also to
the syllables presented in isolation. The results of the syllable tests
on the population of HVc and field L neurons are summarized in Figure
9. A greater percentage of HVc units showed some
sensitivity, but in both areas there were instances of order and
combination sensitivity.
Fig. 9.
The tests for order and combination sensitivity
were performed on cells that showed a significant response to forward
song. For each set of tests, a pair of syllables (AB) was selected that
was likely to show order sensitivity (see Materials and Methods). The
bars indicate the percentage of cells that satisfied the
listed conditions given a significant response to the syllable pair AB.
Order, The response to AB is significantly greater than the
response to BA; Comb, the response to the syllable
combination AB is significantly greater than the response to A or B
when presented in isolation; TCS, the cell showed both order
and combination sensitivity. The incidence of TCS is low but not
inconsistent with previous studies.
[View Larger Version of this Image (33K GIF file)]
The data were also analyzed for significant responses to the syllable
pairs in reverse order. Twenty cells in HVc and 29 cells in field L
showed a significant response to the syllable pair BA in isolation. Of
these, one HVc cell showed significant reverse order sensitivity
(BA > AB) compared to 4 in field L. In HVc, 2 cells showed
significant reverse combination sensitivity (BA > B + A)
compared to 3 cells in field L. No cells in HVc showed both of these
properties, whereas 1 cell did in field L. The number of HVc cells
showing significant order or combination sensitivity for the reverse
order, BA, was lower than for the normal order, AB (20 vs 26). In field
L, there were roughly equal numbers for both the reverse and normal
order (29 vs 27).
Not all of the cells that showed auditory context sensitivity
also showed order or combination sensitivity. In HVc, tests for order
and combination sensitivity were performed on 13 cells that showed a
significant difference between the response to the forward song and the
response to the syllable- or subsyllable-reversed songs. Of these, only
7 cells were sensitive to the temporal order and/or combination of the
syllables, despite large differences in response between the forward
and syllable-reversed songs. In field L, order and combination tests
were performed on 4 cells that showed significant sensitivity to the
syllable or subsyllable order. Three of these showed either order or
combination sensitivity, and the other showed significant facilitation.
DISCUSSION
The neural circuitry that gives rise to the complex auditory
response properties of song-specific neurons is not known. These
results show that there is a substantial increase in the auditory
temporal context sensitivity associated with the progression from the
areas of field L to HVc. Neurons in field L typically respond equally
well to autogenous song and to the temporally manipulated versions of
the song. In contrast, neurons in HVc are highly dependent on the
song's temporal structure. They respond strongly to the forward song
but weakly to the reversed song and to the song with the syllables or
subsyllables in reverse order. These results extend previous findings
that neuronal preference for autogenous song is observed in HVc but not
in field L (Margoliash, 1986 ) by demonstrating that song-responsive
neurons in HVc are much more sensitive to temporal structure than
song-responsive neurons in field L.
The response of song-specific units in HVc depends on auditory temporal
context that extends beyond a single syllable. FM sensitivity alone is
insufficient to account for the context-sensitive properties of these
neurons. Previous studies comparing the context sensitivity of HVc and
field L neurons used only forward and reverse song (Margoliash, 1986 ;
Margoliash et al., 1994 ). Reversing the order of the syllables or
subsyllables does not change the direction of the frequency sweeps in
the song. Thus, any change in response between the forward and
syllable- or subsyllable-reversed song cannot be attributed to FM
sensitivity and must arise from the integration of the auditory context
of the previous syllables.
Earlier studies suggested that the responses of field L neurons could
be accounted for by the sensitivity to short-term spectro-temporal
structure, such as amplitude and frequency modulation (Schafer et al.,
1992 ). The presence of TCS neurons in field L provides new evidence
that field L neurons can also encode information about syllable
combination and order. This observation agrees with previous findings
that field L neurons in Mynah birds can be sensitive to the learned
temporal structure of human vowel sounds (Uno et al., 1991 ).
Sensitivity to syllable order and combination requires integration of
auditory context over longer periods of time, as much as a hundred
milliseconds. Thus, it is not clear how these responses could be
accounted for by FM or AM sensitivity, which covers only a few
milliseconds.
One explanation for the temporal context sensitivity of HVc
song-specific units is in terms of the neural sensitivity to syllable
order and combinations. In this model, sensitivity to the order of the
syllables in the autogenous song results either from sensitivity to the
order of particular syllable combinations or from integrating the
output of such neurons. Several HVc neurons, however, showed strong
sensitivity to the order of the syllables in the whole song, but were
not sensitive to either the order or the combination of syllable pairs
when presented in isolation. These data show that HVc neurons integrate
auditory context over periods greater than the duration of syllable
pairs, which supports the conclusions reached by earlier studies
(Margoliash and Fortune, 1992 ; Margoliash and Bankes, 1993 ; Lewicki and
Konishi, 1995 ).
These findings suggest that there is a hierarchical arrangement
of the temporal tuning properties in the song system auditory pathway.
At the simplest level, field L neurons can be sensitive to amplitude
and frequency modulation, which requires integrating just a few
milliseconds of auditory temporal context. This work showed that field
L neurons can also show nonlinear tuning properties such as sensitivity
to combinations of syllables. This requires integration on the order of
tens of milliseconds and also a nonlinear mechanism for combination
sensitivity. The increase in auditory temporal context sensitivity from
field L to HVc, however, represents a significant computation, because
it is the first known location in the songbird auditory pathway where
neurons are sensitive to much longer periods of temporal context, often
as much as several hundred milliseconds. The hierarchical organization
continues beyond HVc to the auditory nuclei in the anterior forebrain,
where neurons become increasingly selective for autogenous song (Doupe
and Konishi, 1991 ).
A hierarchical arrangement of response properties would be expected,
because L2a and L2b, which are the main recipients of thalamic auditory
projections, project to L1 and L3, which in turn project to the shelf
(Kelley and Nottebohm, 1979 ; Vates et al., 1996 ). The shelf may
represent an additional stage of processing between field L and HVc,
but the nature of the connection between the shelf and HVc remains
unclear. It is not known whether projections from L1 and L3 synapse
onto shelf neurons that then innervate HVc neurons, or if L1 and L3
projections synapse directly onto HVc dendrites that extend into the
shelf. The shelf was thought previously to be limited to a thin (80 µm) band immediately ventral to HVc and was not targeted in the
present study. Recent evidence, however, suggests that L1 and L3
innervates an area as much as 400 µm ventral to HVc (Vates et al.,
1996 ). This study recorded from this region on nearly every pass
through HVc but, in contrast to HVc and field L, it was not obviously
auditory. Many well isolated neurons appeared to have no auditory
response, and only 3 neurons were found to have significant response to
forward song. Of these, 2 did respond significantly less to reversed
song, but were insensitive to manipulation of the syllable order. The
lack of strong auditory responses in this area suggests that it is not
a separate processing stage, but the reason for the unusual innervation
pattern from L1 and L3 remains unclear. A demonstration of synaptic
responses in HVc neurons by selective stimulation of L1 or L3 efferent
fibers would provide a definitive answer to this important issue, but
such an experiment remains difficult because other fiber tracts, e.g.
from NIf, also pass through this area.
The present data show highly significant differences between field L
and HVc, but they are insufficient to allow meaningful comparisons
between the different subareas of field L. These need to be studied in
greater detail, but we can summarize the trends observed in the present
study. All field L areas and HVc contained some neurons that were
sensitive to the local temporal structure, as evidenced from the
differences in response between the forward and reversed song. Only L1,
L3, and HVc contained neurons that showed significant sensitivity to
the order of the syllables or subsyllables in the autogenous song.
Dramatic dependencies on the auditory temporal structure of autogenous
song, in some cases having little or no response to the song with
syllables in reverse order, were only observed in HVc.
New anatomical results suggest that there could be additional auditory
pathways between field L and HVc, parallel to those studied here. A
recent report showed that NIf, which sends projections throughout HVc,
receives auditory inputs via the caudolateral hyperstriatum ventrale
(clHV), which has reciprocal connections with all of the field L areas
and also sends projections to the shelf (Vates et al., 1996 ). Area clHV
also receives indirect projections from field L via caudomedial
hyperstriatum ventrale (cmHV) and caudomedial neostriatum (Ncm). Other
recent studies have reported that neurons in Ncm selectively habituate
to complex auditory stimuli (Chew et al., 1995 , 1996 ). In light of
these new data, the auditory response properties of these areas clearly
need to be investigated to determine whether they are indeed parallel
auditory pathways connecting field L and HVc. Although not targeted in
this study, many song-responsive neurons were recorded in clHV en route
to field L, but only 1 cell showed significant context sensitivity.
The hierarchical organization suggested by the studies presented
here agrees with behavioral data from HVc lesion studies. In male
songbirds, it is difficult to separate any perceptual roles HVc might
have from its crucial role in song production. Female songbirds,
however, need to discriminate their own species' song from those of
other species. Brenowitz (1991) found that bilateral lesions of HVc in
females resulted in copulation solicitations to both conspecific and
heterospecific songs. Because these songs differed primarily in their
temporal structure, it suggests that HVc is necessary to make these
more complex discriminations.
The mechanisms that give rise to the dramatic increase in
sensitivity in HVc are still unknown. Some initial studies have been
made (Lewicki and Konishi, 1995 ; Lewicki, 1996 ) that suggest that these
mechanisms include long-lasting intrinsic and synaptic currents, but it
is not known which properties, if any, are unique to HVc. One common
property of HVc neurons that was not observed in field L was
high-frequency bursts of action potentials. Intracellular studies have
suggested that burst firing could play a role in temporal order
sensitivity (Lewicki and Konishi, 1995 ) and could contribute to the
more complex response properties of these neurons. It is also possible
that the sensitivity of song-specific cells to long periods of auditory
context could be subserved by the extensive intrinsic projections
within HVc (Katz and Gurney, 1981 ; Fortune and Margoliash, 1995 ). These
allow for the possibility of complex feedback circuitry that could
combine the current auditory inputs with the results of processing on
previous input. This may provide an additional mechanism with which
song-specific neurons could dynamically integrate auditory information
over the entire duration of the song.
Sensitivity to auditory temporal structure has been observed in other
systems, such as the cat (Weinberger and McKenna, 1988 ; McKenna et al.,
1989 ) and monkey (Wollberg and Newman, 1972 ; Newman and Wollberg, 1973 ;
Glass and Wollberg, 1983 ), but none has been observed that depends on
as much auditory context as song-specific neurons. One advantage of the
song system is the use of a behaviorally significant stimulus to evoke
neural responses. Recently, a similar ethological approach has been
applied successfully by Rauschecker et al. (1995) to investigate
complex auditory neurons in the rhesus monkey. But with the obvious
exception of human speech, few animals process auditory signals that
are as complex as birdsong, which makes the song system well suited for
investigating the neural representation of temporally complex sounds.
FOOTNOTES
Received March 14, 1996; revised July 8, 1996; accepted July 24, 1996.
This work was supported by a National Institutes of Health Research
Training Grant, a Caltech Engineering Research Center fellowship
(M.S.L.), and a National Science Foundation graduate fellowship
(B.J.A.). We thank Allison Doupe, Mark Konishi, James Mazer, and Marc
Schmidt for valuable comments on this manuscript.
Correspondence should be addressed to Dr. Michael Lewicki, The Salk
Institute, Computational Neurobiology Laboratory, 10010 North Torrey
Pines Road, La Jolla, CA 92037.
REFERENCES
-
Bonke D,
Scheich H,
Langner G
(1979)
Responsiveness of units in the auditory neostriatum of the guinea fowl (Numida meleagris) to species-specific calls and synthetic stimuli. I. Tonotopy and functional zones of field L.
J Comp Physiol [A]
132:243-255.
-
Brenowitz EA
(1991)
Altered perception of species-specific song by female birds after lesions of a forebrain nucleus.
Science
251:303-305 .
[Abstract/Free Full Text]
-
Chew SJ,
Mello C,
Nottebohm F,
Jarvis E,
Vicario DS
(1995)
Decrements in auditory responses to a repeated conspecific song are long-lasting and require two periods of protein-synthesis in the songbird forebrain.
Proc Natl Acad Sci USA
92:3406-3410 .
[Abstract/Free Full Text]
-
Chew SJ,
Vicario DS,
Nottebohm F
(1996)
A large-capacity memory system that recognizes the calls and songs of individual birds.
Proc Natl Acad Sci USA
93:1950-1955 .
[Abstract/Free Full Text]
-
Christensen TA,
Hildebrand JG,
Tumlinson JH,
Doolittle RE
(1989)
Sex-pheromone blend of Manduca sexta: responses of central olfactory interneurons to antennal stimulation in male moths.
Arch Insect Biochem Physiol
10:281-291.
-
Doupe AJ,
Konishi M
(1991)
Song-selective auditory circuits in the vocal control system of the zebra finch.
Proc Natl Acad Sci USA
88:11339-11343 .
[Abstract/Free Full Text]
-
Fortune ES,
Margoliash D
(1992)
Cytoarchitectonic organization and morphology of cells of the field-L complex in male zebra finches (Taeniopygia guttata).
J Comp Neurol
325:388-404 .
[Web of Science][Medline]
-
Fortune ES,
Margoliash D
(1995)
Parallel pathways and convergence onto HVc and adjacent neostriatum of adult zebra finches (Taeniopygia guttata).
J Comp Neurol
360:413-441 .
[Web of Science][Medline]
-
Glass I,
Wollberg Z
(1983)
Auditory-cortex responses to sequences of normal and reversed squirrel-monkey vocalizations.
Brain Behav Evol
22:13-21 .
[Web of Science][Medline]
-
Gross CG,
Rocha-Miranda CE,
Bender DB
(1972)
Visual properties of neurons in inferotemporal cortex of the macaque.
J Neurophysiol
35:96-111 .
[Free Full Text]
-
Heil P,
Langner G,
Scheich H
(1992)
Processing of frequency-modulated stimuli in the chick auditory-cortex analog: evidence for topographic representations and possible mechanisms of rate and directional sensitivity.
J Comp Physiol [A]
171:583-600 .
[Medline]
-
Heiligenberg W (1991) Neural nets in electric fish.
Cambridge: MIT.
-
Hose B,
Langner G,
Scheich H
(1987)
Topographic representation of periodicities in the forebrain of the myna bird: one map for pitch and rhythm.
Brain Res
422:367-373 .
[Web of Science][Medline]
-
Katz LC,
Gurney ME
(1981)
Auditory responses in the zebra finch's motor system for song.
Brain Res
211:192-197.
-
Kelley DB,
Nottebohm F
(1979)
Projections of a telencephalic auditory nucleus
field L in the canary.
J Comp Neurosci
183:455-470.
-
Knipschild M,
Dorrscheidt GJ,
Rubsamen R
(1992)
Setting complex tasks to single units in the avian auditory forebrain. I. Processing of complex artificial stimuli.
Hearing Res
57:216-230 .
[Web of Science][Medline]
-
Knudsen EI,
Konishi M
(1978)
Space and frequency are represented separately in auditory midbrain of the owl.
J Neurophysiol
41:870-884 .
[Abstract/Free Full Text]
-
Langner G,
Bonke D,
Sheich H
(1981)
Neuronal discrimination of natural and synthetic vowels in field L of trained mynah birds.
Exp Brain Res
43:429-436.
[Web of Science][Medline]
-
Leppelsack HJ
(1978)
Unit responses to species-specific sounds in the auditory forebrain center of birds.
Fed Proc
37:2336-2341 .
[Web of Science][Medline]
-
Leppelsack HJ
(1983)
Analysis of song in the auditory pathway of songbirds.
In: Advances in vertabrate neuroethology
(Ewert, JP,
eds)
, p. 783. New York: Plenum.
-
Leppelsack HJ,
Vogt M
(1976)
Responses of auditory neurons in the forebrain of a songbird to stimulation with species-specific sounds.
J Comp Physiol [A]
107:263-274.
-
Lewicki MS
(1994)
Bayesian modeling and classification of neural signals.
Neural Comput
6:1005-1030.
[Web of Science]
-
Lewicki MS (1996) Intracellular characterization of
song-specific neurons in the zebra finch auditory forebrain. J
Neurosci, in press.
-
Lewicki MS,
Konishi M
(1995)
Mechanisms underlying the sensitivity of songbird forebrain neurons to temporal order.
Proc Natl Acad Sci USA
92:5582-5586 .
[Abstract/Free Full Text]
-
Margoliash D
(1983)
Acoustic parameters underlying the responses of song-specific neurons in the white-crowned sparrow.
J Neurosci
3:1039-1057 .
[Abstract]
-
Margoliash D
(1986)
Preference for autogenous song by auditory neurons in a song system nucleus of the white-crowned sparrow.
J Neurosci
6:1643-1661 .
[Abstract]
-
Margoliash D,
Bankes SC
(1993)
Computations in the ascending auditory pathway in songbirds related to song learning.
Am Zoologist
33:94-103.
-
Margoliash D,
Fortune ES
(1992)
Temporal and harmonic combination-sensitive neurons in the zebra finch HVc.
J Neurosci
12:4309-4326 .
[Abstract]
-
Margoliash D,
Fortune ES,
Sutter ML,
Yu AC,
Wren-Hardin BD,
Dave A
(1994)
Distributed representation in the song system of oscines: evolutionary implications and functional consequences.
Brain Behav Evol
44:247-264 .
[Web of Science][Medline]
-
McCasland JS
(1987)
Neuronal control of bird song production.
J Neurosci
7:23-39 .
[Abstract]
-
McKenna TM,
Weinberger NM,
Diamond DM
(1989)
Responses of single auditory cortical-neurons to tone sequences.
Brain Res
481:142-153 .
[Web of Science][Medline]
-
Müller CM,
Leppelsack HJ
(1985)
Feature extraction and tonotopic organization in the avian forebrain.
Exp Brain Res
59:587-599 .
[Web of Science][Medline]
-
Newman JD,
Wollberg Z
(1973)
Multiple coding of species-specific vocalizations in the auditory cortex of squirrel monkeys.
Brain Res
54:287-304 .
[Web of Science][Medline]
-
Perrett DI,
Hietanen JK,
Oram MW,
Benson PJ
(1992)
Organization and functions of cells responsive to faces in the temporal cortex.
Philos Trans R Soc Lond [Biol]
335:23-30 .
[Abstract/Free Full Text]
-
Rauschecker JP,
Tian B,
Hauser M
(1995)
Processing of complex sounds in the macaque nonprimary auditory-cortex.
Science
268:111-114 .
[Abstract/Free Full Text]
-
Schafer M,
Rubsamen R,
Dorrscheidt GJ,
Knipschild M
(1992)
Setting complex tasks to single units in the avian auditory forebrain. II. Do we really need natural stimuli to describe neuronal response characteristics?
Hearing Res
57:231-244 .
[Web of Science][Medline]
-
Scheich H
(1983)
Two columnar systems in the auditory neostriatum of the chick: evidence from 2-deoxyglucose.
Exp Brain Res
51:199-205 .
[Web of Science][Medline]
-
Scheich H,
Langner G,
Bonke D
(1979)
Responsiveness of units in the auditory neostriatum of the guinea fowl (Numida meleagris) to species-specific calls and synthetic stimuli. II. Discrimination of iambus-like calls.
J Comp Physiol [A]
132:257-276.
-
Suga N
(1994)
Multifunction theory for cortical processing of auditory information: implications of single-unit and lesion data for future-research.
J Comp Physiol [A]
175:135-144 .
[Medline]
-
Uno H,
Ohno Y,
Yamada T,
Miyamoto K
(1991)
Neural coding of speech sound in the telencephalic auditory area of the myna bird.
J Comp Physiol [A]
169:231-239.
-
Vates GE,
Broome BM,
Mello CV,
Nottebohm F
(1996)
Auditory pathways of caudal telencephalon and their relation to the song system of adult male zebra finches (Taeniopygia guttata).
J Comp Neurol
366:613-642.
[Web of Science][Medline]
-
Weinberger NM,
McKenna TM
(1988)
Sensitivity of single neurons in auditory cortex to contour: toward a neurophysiology of music perception.
Music Percept
5:355-390.
-
Williams H,
Vicario DS
(1993)
Temporal patterning of song production: participation of nucleus-uvaeformis of the thalamus.
J Neurobiol
24:903-912 .
[Web of Science][Medline]
-
Wollberg Z,
Newman JD
(1972)
Auditory cortex of squirrel monkey: response patterns of single cells to species-specific vocalizations.
Science
175:212-214 .
[Abstract/Free Full Text]
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September 16, 1997;
94(19):
10403 - 10408.
[Abstract]
[Full Text]
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M. M. Solis and A. J. Doupe
Anterior Forebrain Neurons Develop Selectivity by an Intermediate Stage of Birdsong Learning
J. Neurosci.,
August 15, 1997;
17(16):
6447 - 6462.
[Abstract]
[Full Text]
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A. J. Doupe
Song- and Order-Selective Neurons in the Songbird Anterior Forebrain and their Emergence during Vocal Development
J. Neurosci.,
February 1, 1997;
17(3):
1147 - 1167.
[Abstract]
[Full Text]
[PDF]
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