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The Journal of Neuroscience, May 15, 2000, 20(10):3814-3821
Wind Direction Coding in the Cockroach Escape Response:
Winner Does Not Take All
Rafael
Levi and
Jeffrey M.
Camhi
Department of Cell and Animal Biology, Life Sciences Institute,
Hebrew University, Jerusalem, Israel 91904
 |
ABSTRACT |
Cockroaches respond to the approach of a predator by turning away
and then running. Three bilateral pairs of giant interneurons are
involved in determining the direction of the sensory stimulus and
setting the turn direction. Each of these six interneurons has a
different directional response to wind stimuli. We have tested whether
these six cells use a winner-take-all mechanism to perform this
directional determination: that is, each of these cells suppressing the
motor response that each of the other cells promotes. Such a mechanism
is found in similar behaviors of some other animals. By adding spikes
to identified giant interneurons through intracellular stimulation
during the sensory-induced behavior and analyzing the resulting
directional leg movements, we find that a winner-take-all is not used
in this system. Rather, directional determination appears to be based
on collaborative calculation of direction by the giant interneurons as
a group.
Key words:
escape behavior; electrical stimulation; interneurons; giant interneurons; cockroach; winner-take-all; directional behavior; neural code
 |
INTRODUCTION |
Many behaviors of animals can be
performed in various directions. In some nervous systems, different
central neurons are responsible for the different directional forms of
a given behavior. Examples include the directionally varied escape
behaviors elicited by individual giant interneurons (GIs), in
both crayfish and fish (Wine and Krasne, 1972
; Eaton et al., 1991
), and
eye saccades in monkeys, controlled by sets of neurons in the MT
cortex (Salzman and Newsome, 1994
).
In each of these three examples, the neuron or set of neurons
controlling a given directional variant of the behavior suppresses the
circuits controlling alternative directions (Roberts, 1968
; Krasne and
Lee, 1988
; Eaton et al., 1991
; Salzman and Newsome, 1994
). This
"winner-take-all" mechanism helps ensure that just one variant of
the behavior occurs at any given moment.
In other behaviors, the neurons underlying different behavioral
variants do not suppress one another. Rather, they collaborate in an
additive manner to produce the behavior. A clear example is population
vector computation, which has been shown in the superior colliculus
(Sparks et al., 1976
), midtemporal (MT) cortex (Groh et al., 1997
), and
especially the motor cortex (Georgopoulos et al., 1986
) to determine
motor direction.
We report here on tests for a winner-take-all mechanism underlying the
escape behavior of the cockroach Periplaneta americana. Our
approach, like that in work on the monkey saccade system (Salzman and
Newsome, 1994
), was to alter experimentally the activity of the neurons
during the behavior and analyze in detail the effect this had on the
turn direction. However, here we altered single identified neurons by
means of intracellular electrodes, affording much more precise and
controlled experimental manipulation than is possible in cortex (Rose
et al., 1988
; Liebenthal et al., 1994
; Gras and Kohstall, 1998
; Lewis
and Kristan, 1998
).
We delivered wind puffs from a given direction, mimicking the natural
stimulus that evokes cockroach escape: air displacement produced by the
approach of a predator. Simultaneously, we delivered trains of
electrical stimuli to identified giant interneurons that are excited by
the cockroach's wind sensory cells and that in turn excite the motor
circuits of the legs. Because cockroaches tend to turn away from a wind
stimulus, a variety of different turn directions can be made, depending
on the wind direction. By adding different numbers of spikes to a giant
interneuron on different trials, we were able to alter the cockroach's
turn direction. We determined whether the resultant alteration was
proportionate to the number of spikes we added or showed sudden jumps
from one turn direction to another, as expected in a winner-take-all
system. In several different tests, we found the change to be
proportional, thus ruling out a winner-take-all mechanism in this
escape system. Indeed, the GIs appear to collaborate, not compete, in
their activation of motor circuits to determine the turn direction.
 |
MATERIALS AND METHODS |
We used adult male cockroaches, Periplaneta
americana, in all experiments. We raised the cockroaches at
26°C, on a 12 hr light/dark cycle, in 50 gallon screen-topped
cages and fed them rat chow and water ad libitum.
We monitored the escape direction of tethered cockroaches using a
system described previously (Liebenthal et al., 1994
; Kolton and Camhi,
1995
). Briefly, we tethered the cockroach by the abdomen over a slick
surface (glass coated with a film of mineral oil) that permitted it to
make normal leg movements in place (Camhi and Levy, 1988
) (Fig.
1). The sensory stimulus that induces the escape turn and run is the air displacement that results from a
predator's approach (Camhi and Tom, 1978
). To evoke this behavior, we
delivered controlled wind puff stimuli from different azimuthal directions (peak wind speed, 1.2 m/sec; time-to-peak, 150 msec) from a
tube (40 mm inner diameter) whose tip was located 60 mm from the wind
receptor organs, the posteriorly located cerci. The wind was produced
by a 10 inch, 100 W speaker. With the front of the animal designated as
0° and its hind end as 180°, we delivered wind puffs from 10° to
150° on the right (R) side only, at 20° intervals.

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Figure 1.
The experimental setup. The cockroach, fixed to a
slick, transparent surface, could move its legs freely. The rotating
tube from the speaker delivered wind puffs from various angles.
Intracellular recording and stimulation were performed in a GI, and
hook electrodes monitored extracellular activity of the nerve cord. The
behavioral responses were monitored by the video through a mirror below
the transparent surface.
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We recorded the wind-evoked escape behaviors by a high-speed video
camera (NAC, Tokyo, Japan) at 250 frames/sec. The angle of view was
from the animal's ventral side, through the glass substrate. Each
escape turn direction is characterized by a unique profile of leg
movements (Nye and Ritzmann, 1992
). These behavioral details are
preserved, even in tethered cockroaches, dissected for neural recording
(Camhi and Levy, 1988
; Liebenthal et al., 1994
). We analyzed the
leg movements frame by frame on a personal computer using a video
analysis program (MTV; Data Crunch, San Clemente, CA). To determine the
directions of the animals' turning responses, we measured the
coxa-femur (CF) joint angle of the different legs, one frame before an
escape response began and again three frames (12 msec) later.
Subtracting the first angle from the second yielded the CF joint
movement for each leg.
In some experiments, it was necessary to determine the relative
strength of a left turn, away from a right wind source. For this, we
developed a measure that uses the profile of changes in CF joint angle
from all six legs (see Results). In other experiments, it was necessary
to determine the cockroach's tendency to turn left versus right. For
this, we analyzed the CF joints of only the front and middle pairs of
legs (because the angle difference between the joint movements of two
rear legs was practically zero), and used the profile of the CF
angle changes in these four legs.
The wind receptor cells excite a group of identified GIs whose axons
ascend from the last abdominal ganglion of the CNS in which they
receive their sensory input from the cerci, through the thoracic
ganglia in which they excite motor circuits to the legs. Three pairs
(left and right GIs 1, 2, and 3) are especially important for
establishing the escape turn direction (Comer, 1985
; Comer et al.,
1988
; Liebenthal et al., 1994
; Levi and Camhi, 1995
). Each GI has a
unique directional response to wind, including a unique best excitatory
direction (BED) (Kolton and Camhi, 1995
). To record from and stimulate
the axons of these GIs intracellularly, in the posterior abdominal
region, we used glass microelectrodes with an impedance range of 20-40
M
(Liebenthal et al., 1994
). The electrodes were back filled with
6% carboxy fluorescein and filled with 3 M KCl. At the end
of each experiment, we delivered 100 nA hyperpolarizing current for
10-20 min to the GI and identified it, on the basis of its cell body
position and dendritic tree shape, in a whole mount using a
fluorescence microscope (Daley et al., 1981
). The GIs show no synaptic
interconnections in the last abdominal ganglion (Mizrahi and Libersat,
1997
). Thus, adding spikes to one GI does not alter the spike trains
that ascend in other GIs from this ganglion to the thorax.
For intracellular stimulation, we used the discontinuous current-clamp
mode of the Axoclamp 2B amplifier (Axon Instruments, Foster City, CA).
This method enabled us to administer short pulses of up to 100 nA and
still record ongoing and evoked spikes with the same electrode (Fig. 1;
see Fig. 4B). (Some of this current may have leaked
from the axon, because the cockroach's running movements caused some
decrease in the quality of the electrode penetration.) We also recorded
extracellular activity of the whole nerve cord with a pair of silver
hooks positioned under the abdominal nerve cord, amplified with an
AC amplifier (Grass P15; Grass Instruments, Quincy, MA),
for indication of the condition of the cord and the verification of
conduction of the intracellularly evoked spikes. We stored all
physiological data on videotapes using a Neurocorder (Neuro Data, New
York, NY) for later analysis on a personal computer program
(Computerscope; RC Electronics, Santa Barbara, CA).
 |
RESULTS |
Measuring left-turning tendency
We first developed a means to evaluate the strength of the
cockroach's turning tendency to the left, in response to a wind stimulus from the right. This was needed to determine the behavioral effect of an intracellularly injected train of spikes in a GI. We
delivered wind stimuli to each of 20 animals that were tethered on the
lubricated glass substrate but were not dissected. The stimuli were
presented at 20° intervals, from 10° R to 150° R, in a randomized
sequence. We videotaped the leg movements and measured the CF joint
movement of each leg, as described in Materials and Methods.
Figure 2 plots the joint angle changes
for each of the six legs in response to wind from different directions.
For all the legs except R1 (the right front leg), the angle change
increased as the wind direction was changed from near 0 (head end) to
large angles (rear end). There were, however, individual differences. Our measurements somewhat underestimated the movements of the CF joints
of the front legs, because these front legs are held at an angle
oblique to the view of the camera.

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Figure 2.
Changes of the CF joint angles as a function of
wind direction. Stimuli ranged from near head-on wind (i.e., ~0°)
to wind from close to behind (150°). Each plot shows the means ± SEM from one leg: left front (L1), left middle
(L2), left hind (L3), and the same for
the right legs. All correlations are significant except R1.
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We transformed these data into a single parameter that could describe
turn direction. For this, we combined the data from all six legs into a
single linear relationship between wind angle and the movements of the
joints, using a multiple linear model (statistical program
JMP-SAS for MacIntosh computers). This model performed a
least-square optimization among the six variables (six leg joints) and
the wind direction. The least-square error method determined the
coefficients that would best relate the combinations of leg movements
to the wind direction.
We also incorporated into the model the parameter of the stationary
angle of each joint before the onset of the turn, because the initial
position of the leg has been shown to contribute to determining its
movement response to wind (Camhi and Levy, 1988
). For each of the six
legs, we divided the data pool into three categories: (1) trials in
which the stationary CF angle was within ±SD of the mean for all
trials; (2) trials in which this angle was more than SD above this
mean; and (3) trials in which this angle was more than SD below this
mean. In each trial, we calculated separately the coefficient for each
leg, according to which of the three categories it belonged. It was
these three sets of coefficients that we used in the model, according
to the initial leg position on each trial.
This model provided a measure we call left-turning tendency, whose
range extends from 0 (the left-turning tendency extrapolated to a wind
angle of 180°) to 1 (extrapolated to 0°) (Fig.
3A). The left-turning tendency
varied linearly with wind angle (p < 0.01;
R2 = 0.34). Importantly, when
we superimposed on this graph data from the control trials of
experimental animals (i.e., trials of dissected cockroaches with the
electrodes in place but with no spike injection), these points were not
significantly different from those of the nondissected cockroaches for
wind from the same direction (30° and 90°) or the closest tested
direction (120°) (Fig. 3A). This justified the use of
left-turning tendency to evaluate turns in the experimental trials.

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Figure 3.
Left-turning tendency as a function of wind
direction. A, Filled symbols, Data from
20 tethered, but not dissected, cockroaches. Open
symbols, Data at three wind angles from experimental, dissected
cockroaches. Means ± SEM shown. B, Based on the same
data as the filled symbols in A, but here
the linear regression was calculated separately for each animal
(mean ± SEM).
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Electrical stimulation of right GI3
To study the effect of changing neural activity on the sizes of
wind-evoked turns, we chose to focus on a single neuron, namely GI3
(specifically, the right GI3, ipsilateral to the right wind stimulus).
This choice was based on this cell having the narrowest receptive field
of any of the GIs 1, 2, and 3. Thus, even by delivering wind from 90°
R, which is not very far away from the BED of the cell (30° R), this
GI would be excited relatively little by wind, permitting us to make a
substantial addition to its spike train by the electrical stimulation.
We presented the trials in pairs: a control trial without electrical
stimulation, either followed by or preceded by the experimental trial
with electrical stimulation. (The control trial came first in half of
the trials, and the experimental trial came first in the other half.)
In the control trial in Figure
4A, the wind puff evoked five spikes from its onset until a criterion time we set of 4 msec before the movement response of the legs; this is approximately the time needed for a given GI spike to be processed and influence the
movement of the leg (Camhi and Nolen, 1981
). The first spike evoked in
the impaled GI occurred at 7 msec after a timing signal used to
activate the wind system. The hook recording (Fig.
4A, middle trace) shows the spikes
of all the GIs and numerous other cells excited by the wind
stimulus.

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Figure 4.
Physiological recording and stimulation of the
right GI3 from a sample experiment. A, Wind alone, from
90° right, with no electrical stimulation. Top trace,
GI3 response to the wind. Five spikes were evoked before the criterion
time, as explained in Materials and Methods. Middle
trace, Nerve cord response to the wind. Bottom
trace, Timing signal to the speaker that later delivered the
wind puff to the cerci. B, Same as A,
except for the addition of the electrical stimulus train (next to
bottom trace) that evoked a spike train in GI3
(top trace). In this trial, 10 spikes occurred in GI3
before the criterion time. Calibration for top trace in
A also applies to top trace in
B.
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In the immediately following experimental trial (Fig.
4B), we delivered a train of electrical pulses at 400 Hz, beginning at the time of the wind onset signal and continuing until
after the turn had begun. For the first two electrically evoked spikes and for some of the subsequent ones, the associated spike can be seen
clearly in the hook recording. This indicates that the GI3 spike was
indeed conducted anteriorly from the site of the microelectrode in the
axon of the GI. In this trial, the number of spikes recorded in GI3
from wind onset to the criterion time doubled to 10 spikes (Fig.
4B, top trace).
This same pattern of just one control and one experimental trial for
each animal was used on each of the 17 animals; thus 17 control and 17 experimental trials comprised the data set for this experiment. We used
a range of stimulus frequencies, from 330 to 500 Hz, according to the
ability of each cell to follow the stimulus train, which correlated
generally with the quality of the electrode penetration. The mean
number of added spikes in all 17 experiments was 4.7.
In analyzing the results, we compared the cockroach's left-turning
tendency on each experimental trial with that of the associated control
trial. The electrical stimulation altered the left-turning tendency
toward a larger turn (p < 0.01; Wilcoxson
paired test) (Fig. 5), which was expected
in response to wind close to the right front. This suggests that the
electrical stimulation had caused a change in the cockroach's
perception of the wind direction, from the actual direction (90° R)
toward the BED of the stimulated right GI3 (30° R).

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Figure 5.
Distribution of changes in left-turning tendency
resulting from electrical stimulation to GI3. The change is represented
as the difference between the single control trial and the single
experimental trial for each of the 17 different animals. Positive
values indicate enhanced turning tendency caused by the stimulation.
Arrow points to the mean of all data.
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The injection of these 330-500 Hz spike trains caused a mean increase
of 0.09 in the left-turning tendency. If one omits the one extreme
datum at
1, this mean increase becomes 0.16. From Figure
3A, one can calculate that this 0.16 increase is 58% of the
difference in left-turning tendency to wind stimuli alone from 90° R
(the actual wind direction) and 30° R (the BED of right GI3). This
58% of 60° gives 34.8° as the effect of the added spikes. That is,
the cockroach perceived the wind as coming from 34.8° more anterior
than it actually did, and this caused the change in turn direction.
Dividing 34.8 by the mean of 4.7 spikes that we added gives a rough
estimate of 7.4° of change in perception of wind angle per added spike.
Effect of varying spike frequency
We used the measure of left-turning tendency to test for a
winner-take-all mechanism. To do this, we generated in GI3 spike trains
of different frequencies and determined whether the shift of
left-turning tendency was proportional to the spike frequency or
increased abruptly in an all-or-none manner. Thus, we repeated the same
experiment as in Figures 4 and 5, but this time we changed the
frequency of the electrical pulses. We also changed the wind direction
from 90° R to 130° R, to provide a broad range of possible left-turning tendencies over which the shift could take place. In this
experiment, we gave, on each of 14 animals, three control trials (wind
only), plus generally two trials at each of five stimulation
frequencies between 50 and 550 Hz. We analyzed only experiments whose
regression line, like that in Figure
6A, showed an upward
slope with an R2
0.2 (10 of
the 14 animals tested).

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Figure 6.
Correlation between spike frequency in right GI3
and the left-turning tendency. A, Sample experiment and
its linear regression line. Wind stimulation alone was presented three
times, whereas each of five spike frequencies was presented twice.
B, Normalized, pooled results from all the animals
tested and the regression line. C, The residual values
of individual regressions as a function of the spike frequency.
Inset, Top graph, Theoretical bimodal
distribution of left-turning tendencies for different GI3 spike
frequencies. Bottom graph, The residual expected from
these data. Notice that, on the large graph of the actual data, the
vertical spread of the data points is fairly consistent for different
spike frequencies and not of the saw-tooth pattern shown in the
bottom inset graph.
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Figure 6A shows the results from a single animal in
which the left-turning tendency appears to have increased
proportionately to the frequency of injected spikes
(p < 0.01;
R2 = 0.7; Pearson correlation).
To examine on one graph the data from all 10 animals analyzed, we
normalized the 10 graphs by setting the mean value of all points on a
given graph equal to the mean of all points for each other graph. The
result is seen in Figure 7B,
which, like 7A, appears to show a proportional increase in left-turning tendency with frequency of GI spikes. (On this graph, the
negative values indicate those less than the means, and the units on
the ordinate represent SDs.)

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Figure 7.
The effect of three different ranges of electrical
stimulation of the right GI3 on left-turning tendency.
A, Control (no electrical stimulation) and two different
frequency ranges all give responses significantly different from one
another. (p values shown are Tukey's multiple
comparisons test on each of the categories.) B,
Distribution of the normalized turning tendency in the middle category
(<200 Hz) of A.
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There exists, however, the possibility that the regression
line of Figure 7B results from two sets of points (a
low set in the left half of the graph and a high set on
the right half) rather than a continuous increase. This
would indeed be consistent with a winner-take-all mechanism. To test
this more rigorously, we performed a linear regression for each animal
separately and analyzed the residual of the regression. (For each
individual experiment, the residual is the distance of each point from
the regression line.) If there were two sets of points, one
low and the other high, one would expect the residual to vary as shown
in the inset of Figure 7C, with large negative
and positive peaks near the middle of the frequency range. This was
clearly not the case; rather, the residual magnitude was fairly
consistent for all of the GI3 spike frequencies (Fig.
7C).
The critical analysis, however, is to determine whether the values of
the normalized left-turning tendency (Fig. 6B) at
intermediate GI3 spike frequencies are significantly different from
those at both lower and higher GI3 spike frequencies. To test this, we divided the GI3 spike frequencies into three bins: (1) controls (wind
only, average spike frequency of 57 Hz; 66% of the trials had zero or
one spike); (2) spike frequencies between 55 and 200 Hz; and (3) spike
frequencies between 200 and 520 Hz. The normalized left-turning
tendencies for these three bins are shown in Figure 7A.
Indeed, the middle group is significantly different from each of the
two extreme groups. We further ruled out that the intermediate category
consisted of two distinct data groups; Figure 7B shows that
the distribution of these data are unimodal, and it is not different
from a normal distribution (p > 0.2;
Kolmogorov-Smirnov test for normality).
Thus, there appears to be not a single step, from small left turns
evoked by the wind to large left turns evoked by the wind plus
electrical stimulation; rather, there is a staged transition. Presumably, with sufficient additional data points, additional significantly different, intermediate angles could be
found. However, a single intermediate category already rules out a
winner-take-all mechanisms.
Behavioral intermediates and angular resolution
Although testing for a winner-take-all mechanism requires
physiological methods such as those reported above, behavioral
observations can provide supportive evidence. Especially in relatively
simple systems, involving relatively few neurons, a winner-take-all
system might produce discrete jumps in the measure of behavior: one
jump for each participating cell. Examining Figure 3A, no
such discrete jumps appear; rather, there is a progressive decrease in
left-turning tendency.
Nevertheless, it was useful to determine the behavioral resolution more
accurately. Specifically, if the cockroach were able to resolve
behaviorally many different wind angles, producing a corresponding
number of different turn directions, this would hint that the
cockroach's small number of GIs would be an insufficient number to
operate on a winner-take-all basis; there simply would be not enough
potential "winning" cells for all the different turn sizes.
To measure the behavioral discrimination of wind angle, it was
preferable to reduce the behavioral variation among animals. We did
this by multiple linear regression, as in Figure 3A;
however, in the present analysis, we calculated the coefficients
separately for each animal and then proceeded as in Figure
3A.
In the resulting graph (p < 0.001;
R2 = 0.84) (Fig.
3B), differences in wind direction as small as 20° are
statistically significant (p < 0.01 for wind
directions between 30° and 150°, except 110°-130°; Student's
t test). Thus, the directional resolution of the escape turn
is at least as low as 20°. Therefore, if a winner-take-all mechanism
were to operate, there would need to be a minimum of approximately
eight different cells with different BEDs, each 20° apart, ranging
from 20° R to 160° R, and a corresponding set of approximately
eight left cells. Although we do not know all of the neurons that take
part in the escape behavior, at least among the GIs that are thought to
initiate the turn, there are insufficient neurons to explain the
mechanisms on a winner-take-all basis.
Electrical stimulation of left GIs 1, 2, and 3
Although a winner-take-all mechanism appears not to be involved in
determining the sizes of left turns, such a mechanism could determine
whether a turn will be to the left or the right. To test this, we
injected spike trains into left GIs while giving right wind. It is
known that injecting such spike trains can flip the turn direction from
right to left (Liebenthal et al., 1994
). Does this flip occur in an
all-or-nothing (i.e., winner-take-all) manner or gradually with
increasing frequencies of injected spikes?
We delivered spike trains of increasing frequencies into the left GIs
1, 2, or 3, together with wind puffs from 90° right. We analyzed the
difference in the CF joint movements of the left versus the right front
and middle legs. [In general, for both of these pairs of legs, the CF
joint ipsilateral to the wind source opens more than the contralateral
joint (Fig. 2).]
For this analysis, we subtracted the CF joint movement of the left leg
from that of its right partner for each trial. This gave the
left-right angle difference for each leg pair for each trial. We then
normalized the change in joint angle for all of the trials of each
animal as follows. We subtracted the mean angle difference of all
trials from the CF angle change of each trial. Then, we divided the
result by the SD of all trials. In 12 experiments on as many
cockroaches (four each using GI1, GI2, and GI3), we gave three trials
each of wind only, at 100, 300, and 400 Hz stimulation, in a randomized sequence.
The added spike trains significantly altered the left-right-turning
tendency for GIs 1, 2, and 3 (p < 0.01, 0.05, and 0.01, respectively; Pearson correlation). In all three cases, the
direction of the effect was the same: the injected spikes directing the turn more toward the right, that is, toward rather than away from the
side of the wind stimulus. Normalizing these data so as to minimize
interanimal differences reveals the effects of the electrical stimulation (Fig. 8A).
These data confirm and extend an earlier study (Liebenthal et al.,
1994
) by showing that this effect occurs regularly for each of the left
GIs 1, 2, and 3.

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Figure 8.
Effect of electrical stimulation of left GIs 1, 2, and 3 on the directions of turns in response to wind from 90° right.
A, Mean ± SEM responses to wind alone
(leftmost point on each graph) and three different GI
spike frequencies. The left-turning tendency is normalized and
therefore dimensionless. B, The residual values of the
individual regressions from A, as a function of GI spike
frequency. The residuals for all three graphs in A are
plotted here together. Notice that the vertical spread of the points is
quite consistent for all different spike frequencies.
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For all these GIs, the left-right-turning tendency was significantly
altered by electrical stimulation (p < 0.05;
Pearson correlation). A significant switch from left to right turns
occurred for GIs 1 and 3 (p < 0.01; signed rank
test), whereas for GI2, significant right turning was never achieved,
the turning tendency for 400 Hz stimulation being not significantly
different from 0. As Figure 8A shows, for all three
GIs, the change was gradual and correlated with the frequency of the
injected spike train. That is, intermediate spike train frequencies
evoked a behavior that, according to our measure of left-right-turning
tendency, was neither a left nor a right turn. Our data did not reveal
whether these latter behaviors may represent a straight forward run (as occurs in response to wind from behind; 180°) or perhaps a backward movement (as often occurs in response to wind from the front; 0°)
(Nye and Ritzmann, 1992
).
Because high-frequency electrical stimulation to GIs 1 and 3 switched
the escape behavior from left to right turns, one can measure the
turning tendency of these reversed escapes. (We did this by simply
switching the left and right legs in the analysis and calculating
left-turning tendency, as above.) In the trials involving left GI1,
without electrical stimulation, the left-turning tendency was 0.40, and
with maximal stimulation the right turning tendency was 0.24. (These
are raw, not normalized, values.) These turning tendencies correspond
to turns in response to winds from 107° right and 135° left,
respectively (Fig. 3A). In the trials involving GI3, without
electrical stimulation the left-turning tendency was 0.33, and with
maximal stimulation the right turning tendency was 0.73. These numbers
correspond to turns in response to wind from 100° right and 48°
left, respectively. Thus, stimulating the left GI3 whose BED is in the
left front quadrant evoked a large turn, like that normally produced by
left front wind.
It remained possible that the data of Figure 8A
consist of either clear left turns or clear right turns and that the
proportion of these two categories varied with spike injection
frequency. Such a situation could still be interpreted as involving a
winner-take-all mechanism. We analyzed the regression residual to test
this possibility. For this, to reduce scatter and thus reveal more
clearly any trends, we used the raw, unnormalized data only of the legs
that showed a significant effect of the electrical stimulation. If
there were only clear left and clear right turns, varying in their
proportion, one would expect the residual to be greatest in
intermediate range of injected spike frequencies. This was not the case
(Fig. 8B).
 |
DISCUSSION |
The present study attempts to discern the type of information
processing that occurs in the neural pathway between the cockroach GIs
and the motor response of escape. Rather than attempting to work out
the entire neural circuit to attain this goal, we have used judicious
manipulation of the information code in the GIs together with careful
behavioral analysis to test a specific hypothesis as to how the
information is processed. This has revealed that a winner-take-all
mechanism is not involved in the determination of direction by the GIs.
Our principle evidence against a winner-take-all mechanism is that,
with the wind stimulus delivered from an angle distant from a given BED
of a GI, adding increasing numbers of spikes to that GI produces a
proportional, rather than a precipitous, shift in the direction of the
escape turn. In the experiments involving electrical stimulation of
right GI3 and with the wind coming from the right side posterior to the
BED of this GI, we interpret the result as follows. The more spikes we
added to this GI, the more this cell promotes the perception of wind
from near the front right, rather than the rear right; thus, the more
it produces a large left turn, reflected in our measure of enhanced left-turning tendency.
The interpretation is similar, although a bit more complex, in the
experiments performed with right wind stimulation and spike addition in
a left GI. Again, the result is a gradual effect. Interestingly, when
stimulating the left GI3, the right turns evoked by maximal stimulation
were large right turns, not small ones. This indeed is as expected,
given the frontal BED of the stimulated GI3. This implies then that the
cockroach's perception of wind direction was drawn across the frontal
midline by the electrical stimulation, from right front, to midline, to
left front.
But how can one understand the very small responses seen in this
experiment with intermediate stimulus frequencies (Fig.
8A)? In earlier observations of the escape directions
of freely running cockroaches, in response to wind stimuli from this
narrow range of frontal angles, it appeared that the behavior had an
all-or-nothing quality. Most stimuli from just right of the midline
gave large left turns, and most from just the left of the midline gave
large right turns (Camhi and Tom, 1978
). This indeed had hinted at the possibility of a winner-take-all mechanism.
More recent observations have indicated that there are intermediate
response variants. A neural model of the cockroach escape system
predicts, as is seen in Figure 8A, that increasing
the activity of the GIs contralateral to the wind would produce escapes that are neither left nor right turns, and still stronger contralateral activity would switch the turn direction (Ezrachi et al., 1999
). Behavioral studies have shown that, as the wind angle is brought very
close to the midline in front of the cockroach, the initial response is
often a backward movement that then grades into a sharp turn away from
the side of the wind (Nye and Ritzmann, 1992
). It is possible that the
very low values of turning tendency for intermediate stimulus
frequencies of left GI3 in Figure 8A reflect this
initial backward movement, captured on video in our 12 msec sample
time. Thus, the absence of strong left or right turns for these
intermediate stimulus frequencies is consistent with the known
behavioral responses to midline wind stimuli.
It is not possible, on the basis of the experiments reported here, to
determine what type of neural interactions might be responsible for the
observed responses to GI stimulation. However, one neural feature that
appears to be ruled out is strong mutual inhibition among the outputs
of the different GIs, or among separate groups of follower cells or
circuits that each GI may have. Such strong mutual inhibition would
have been implied by the very winner-take-all mechanism that our
experiments have ruled out. However, these physiological experiments do
not rule out weak mutual inhibition. For instance, if the right GI3
with its right front BED was mutually inhibitory with right GI2 with
its right rear BED, and if these inhibitions were weak, there could
still be intermediate directional responses to wind from angles between
these two BEDs. Thus, adding intermediate numbers of spikes to right
GI3, when the wind stimulus is from the right rear, could still evoke
intermediate left-turning tendencies such as those seen in Figure
7A.
It would be most likely, however, that any such weak mutual inhibition
would be reflected in the behavioral responses to wind stimuli alone
from different right angles. Specifically, one would expect a
nonlinearity in the left turn sizes. However, the behavioral graphs of
left-turning tendency in response to different angles of right wind is
highly linear (Fig. 3). Thus, these graphs not only corroborate the
absence of strong mutual inhibition but even hint at the absence of
weak mutual inhibition among the GIs or their follower cells and circuits.
Our result of a 20° directional resolution of the behavior is far
from the 4.7-7o resolution found for
cricket escape behavior, using information theory methods (Theunissen
and Miller, 1991
). Crickets perform escape turns whose initial, prejump
portion is remarkably like that of the cockroach (Tauber and Camhi,
1995
). The resolution difference presumably reflects in part the
difference in the parameters measured: behavior in the cockroach versus
GI responses in the cricket. Surely there are numerous sources of
scatter of the directional information between the neural activity of
the GI and the actual movement response. One should note, however, that
unlike the information theory calculations, our observations do not
give minimal resolution. Thus, a larger data sample could well reveal
an improved behavioral resolution of the cockroach escape behavior.
Previous measurements of the escape response of free-ranging
cockroaches have shown the turn direction to be highly variable (Camhi
and Tom, 1978
). The results we have obtained are strikingly different
from this (Fig. 3). One reason is that, in free-ranging cockroaches,
the criterion for measuring the end point of the turn was the moment
when two successive cine' frames showed no continuing change in body
angle, typically much later than the 12 msec sample time of the present
work. In that time, many additional factors could well influence turn
size, including antennal or other sensory inputs. By restricting our
present measurements to the initial response, which is probably
influenced primarily by the GI spikes and not other confounding neural
inputs, the behavior is seen to be much more consistent from trial to
trial. It is particularly striking that the cockroaches respond in this regular way, even under conditions in which the body has dissected and
prepared for electrical stimulation (Fig. 3A, open
symbols).
The absence of a winner-take-all mechanism suggests that the different
GIs and their postsynaptic cells collaborate with each other to
determine direction. In a separate paper (Levi and Camhi, 2000
), we
show that this collaboration involves a population vector code.
 |
FOOTNOTES |
Received Oct. 18, 1999; revised Jan. 13, 2000; accepted Feb. 11, 2000.
This work was supported by United States of America-Israel Binational
Science Foundation Grant 93-00021/3.
Correspondence should be addressed to Jeffrey M. Camhi, Department of
Cell and Animal Biology, Hebrew University, Givat-Ram, Jerusalem, 91904 Israel. E-mail: jeff{at}vms.huji.ac.il.
Dr. Levi's present address: Department of Biology, University of
California, San Diego, La Jolla, CA 92093-0357.
 |
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