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The Journal of Neuroscience, May 1, 2000, 20(9):3449-3455
Extraretinal Control of Saccadic Suppression
Mark R.
Diamond1,
John
Ross1, and
M. C.
Morrone2
1 Department of Psychology, The University of WA,
Nedlands Western Australia 6907, Australia, and 2 Istituto
di Neurofisiologia del Consiglio Nazionale delle Ricerche, 56010 Pisa,
Italy
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ABSTRACT |
We measured the time course of saccadic suppression and tested
whether suppression results entirely from retinal image motion or has
an extraretinal source. We measured contrast thresholds for
low-frequency gratings modulated either in luminance, at 17 cd/m2 and 0.17 cd/m2, or color at
17 cd/m2. Gratings were flashed on a uniform
background before, during, or after voluntary 12° saccades and,
additionally in the case of luminance modulated gratings, saccades
simulated by mirror motion.
A 10-fold decrease in contrast sensitivity was found for
luminance-modulated gratings with saccades, but little suppression was
found with simulated saccades. Adding high-contrast noise to the
display increased the magnitude and the duration of the suppression
during simulated saccades but had little effect on suppression produced
by real saccades.
Suppression anticipates saccades by 50 msec, is maximal at the moment
of saccadic onset, and outlasts saccades by ~50 msec. At lower
luminance, suppression is reduced, and its course is shallower than at
higher luminance.
Simulated saccades produce shallower suppression over a longer time
course at both luminances. No suppression was found for chromatically
modulated gratings.
Differences between real and simulated saccades in the magnitude and
time course of sensitivity loss suggest that saccadic suppression has
an extraretinal component.
We model the effects of saccades by adding a signal to the visual
input, so as to saturate the nonlinear stage of visual processing and
make detection of a test stimulus more difficult.
Key words:
saccades; eye movements; saccadic suppression; magnocellular; corollary discharge; image motion; efference copy
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INTRODUCTION |
It has long been thought that vision
is suppressed around the time of saccades, and recent evidence confirms
that it is, particularly for motion (Burr et al., 1982 ; Shiori and
Cavanagh, 1989 ; Ilg and Hoffmann, 1993 ). However, the suppression is
not a comprehensive "central anesthesia", as was supposed by Holt
(1903) , but instead is confined to the magnocellular pathway. The
parvocellular pathway, in contrast, is spared (Burr et al., 1994 ;
Uchikawa and Sato, 1995 ; for review see, Ross et al., 1996 ), and indeed
its sensitivity may even be enhanced during saccades (Burr et al.,
1994 ). The visual system can afford this luxury because the high
spatial frequency components of a scene will become invisible at
saccadic speeds (Morgan, 1994 ).
Neither the source nor the site of saccadic suppression is certain.
Some have argued for the image motion produced by saccades, combined
with the masking effects of successive fixations, as the cause (Beeler,
1967 ; MacKay, 1970 ; Campbell and Wurtz, 1978 ; Sperling, 1990 ), whereas
others have assumed the source to be of extraretinal origin (Holt,
1903 ; Zuber et al., 1966 ; Duffy and Lombroso, 1968 ; Matin, 1974 ).
Zuber et al. (1966) went so far as to put forward a structural model in
which a corollary discharge, proposed by Sperry (1950) to account for
spatial constancy during eye movements, also played a role in saccadic
suppression. For a history of corollary discharge and efference copy
(Von Holst and Mittelstaedt, 1954 ), see Grüsser (1994) .
As far as the site of suppression is concerned, existing evidence
points to somewhere early in the visual pathway, with the lateral
geniculate nucleus being the most likely candidate. The evidence
derives from two sources: first, from intracellular and extracellular
recordings from rabbit and cat lateral geniculate nuclei (Fischer et
al., 1996 ; Zhu and Lo, 1996 ; Derrington and Felisberti, 1998 ); second,
from psychophysical studies indicating that suppression takes place
before any interaction between successive stimuli, both for signals
that mask one another (Burr et al., 1994 ) and those that interact to
produce a percept of motion (Burr et al., 1999 ). In the study by Burr
et al. (1994) , for instance, the effects of masks presented during
saccades were found to be attenuated when compared with those of masks
presented after saccades, suggesting that the saccade had acted to
suppress the mask before its interaction with a test stimulus.
Our main purpose in the experiments reported here is to disentangle the
effects of saccadic eye movements from those of image motion alone. In
doing so, we extend the work of Burr et al. (1994) , by including both
an examination of visual sensitivity from well before to well after the
time saccades are made and an experimental condition (similar to that
used in Bridgeman, 1983 ) in which saccade-like image motion is produced
in the absence of saccades.
We also present a model of saccadic suppression that throws light on
the mechanism through which it is achieved and on the site at which
suppression acts.
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MATERIALS AND METHODS |
Stimuli. Stimuli were generated by framestore
(Cambridge Research Systems VSG4) under the control of a 100 MHz i486
personal computer (PC) and were displayed on the face of a Hitachi
color monitor (HM-4821D) with luminance linearization at 120 frames/sec and 600 lines/frame. The visible area of the screen was 35 × 26 cm, subtending 38.6 × 29.1° at a viewing distance of 50 cm. The screen was surrounded by a 90 × 80 cm card lit to match the
screen in luminance and chromaticity.
Unless otherwise stated, the stimulus in all experiments was a
horizontally oriented sinusoidal grating of 0.04 cycles/°, symmetric
around the horizontal midline of the monitor, and displayed within a
vertically oriented Gaussian envelope having a space constant of
4.8°. Stimuli were usually displayed for a single frame.
Saccades were made parallel to the orientation of the grating stimulus
so that no motion signal would be produced by any motion of the grating
image on the retina.
In some conditions the screen was covered with patterned noise through
which the stimulus had to be detected. To construct the pattern, the
screen was divided into blocks 4 pixels wide × 4 raster lines
deep. Each block was assigned, at random, either maximum or minimum
luminance with equal probability. The pattern itself appeared only on
even-numbered raster lines leaving the odd-numbered lines free to
display the stimulus to be detected.
The stimulus was modulated either in luminance (red + green) or in
chromaticity (red green) by simultaneously varying the output
of the red and green guns of the monitor using the method described by
Burr and Morrone (1993) . Equiluminance for each observer was determined
by flicker photometry, with the amplitude ratio of the red and green
guns being adjusted to produce minimal perceived flicker when the
stimulus was modulated at 15 Hz. The equiluminant point was confirmed
by determining the red-green amplitude ratio that resulted in the
highest nonsaccadic thresholds for detection of the chromatically
modulated stimulus.
Thresholds were measured using either detection or identification
tasks. In detection tasks, the observer responded with "yes" or
"no" to indicate whether the stimulus was or was not seen. In
identification tasks, the stimulus was shown either with normal contrast polarity or in reversed polarity and the observer reported polarity. In detection tasks, some zero-contrast catch trials were
included. Across all observers and conditions where detection tasks
were used, the false alarm rate was <1 in 200 trials low enough to
eliminate the possibility of criterion shifts.
Stimuli were presented within an interval from 200 msec before to 200 msec after the onset of saccades, their contrast varying according to a
ZEST procedure (King-Smith et al., 1994 ), which independently
estimated the most informative contrast at which to present the next
stimulus for each intended 25 or 50 msec epoch within the 400 msec
period of interest. Saccadic latencies were monitored to determine the
optimal time, in relation to the appearance of the saccadic target, at
which to present the stimulus on each trial.
The final estimate of the contrast threshold for each epoch was made by
fitting a Weibull (1951) function to observers' response data. An
indication of the error associated with each threshold estimate was
obtained from a sample of 20 such thresholds by calculating the
"leave-one-out" error estimator (Weiss and Kulikowski, 1991 ). The
maximum root-mean-squared error was 0.037 log-units smaller than the
size of symbols used in the figures.
Eye movements. Voluntary saccadic eye movements were
monitored with an infrared scleral limbus tracker (HVS SP150) that
sampled eye position at 10 kHz and averaged the record continuously
over each 1 msec period. The PC in turn sampled the output of the
limbus tracker at 1 kHz and stored the result in digital form.
Immediately after each trial, the time of onset and completion of the
saccade, relative to the time of presentation of the stimulus, was
determined by the PC using a method adapted from Koski et al.
(1995) .
The mirror. In all experiments except the first, observers
viewed a reflection of the video monitor screen in a thin plastic mirror 30 × 20 cm. In saccade conditions, the mirror was kept still, and the observer made a saccade. In simulation conditions, the
observer maintained a fixed direction of gaze, and the computer activated a solenoid to rotate the mirror around its central vertical axis (Fig. 1).

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Figure 1.
Viewing arrangement. In all but the first
experiment (see Materials and Methods) observers viewed an image
of the screen at an effective distance of 50 cm. In conditions
requiring simulated saccades, the mirror was rotated around its center
to the position shown in gray.
F0 represents the observer's initial
fixation; F1 represents the saccadic target.
The projective images of these points are shown as
F0' and F1'.
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The motion of the mirror was monitored in a manner comparable to that
used in monitoring eye movements, by tracking a small imitation eye
spindle of the mirror with the infrared scleral limbus tracker. The
time course of the artificial saccade produced by rotating the mirror
compares favorably to that of the saccading human eye (Fig.
2). In both cases the image motion lasts
for ~60 msec, although the deceleration of the mirror is not quite as smooth as that of the eye.

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Figure 2.
Traces, obtained from a scleral-limbus tracker, of
the motion of a saccading eye (thick gray line) and an
artificial eye mounted on a rotating mirror (black
line). The traces overlap for most of their course but show
that the deceleration of the mirror is not quite as smooth as that of
the eye. The horizontal gray bar indicates the duration
of image motion.
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Procedure. Observations were made in a dimly lit room with
the observer seated and with his or her chin on a chin rest.
Each trial began with a 500 msec warning tone followed by an interval
randomly set between 800 and 1200 msec during which time the observer
fixated a 0.5° spot, usually 6° to the left of center of the
screen. This fixation spot remained on throughout the trial. At some
predetermined time, a target spot appeared on the screen 12° to the
right of the fixation point and then remained throughout the trial. In
saccade conditions, the observer was required to make a saccade to the
newly presented target, whereas in mirror movement conditions, the
observer was required to maintain a steady gaze in the direction of the
original fixation point while the mirror rotated. Although we did not
monitor eye movements during trials requiring mirror motion, we had
previously established that observers maintained a steady gaze under
these conditions and that they did not track the moving image with
their eyes.
As noted previously, stimuli were generally flashed on the screen for
one (8 msec) frame.
Observers. The authors, who at the time of the experiments
ranged in age from 40 to 66 years, served as observers. All have normal
or corrected to normal vision.
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RESULTS |
Saccades: direct versus mirrored viewing
In the first experiment observers viewed a fixation spot 6° to
the left of the apparent screen center and made a saccade to an
identical target spot 6° to the right of center, as soon as possible
after the spot appeared. In one condition observers viewed the screen
directly from in front at a distance of 50 cm. In the other condition
they viewed its mirror image at an effective distance of 50 cm. The
luminance-modulated stimulus appeared on the screen otherwise uniform
except for the fixation and target spots for one frame at a time,
t, that was unpredictable by the observer. Presentation time
was within the range of 200 to 200 msec from the start of the saccade
(t = 0).
The time of presentation of the saccadic target was determined by both
the observer's saccadic latencies and the desired time of presentation
of the stimulus in relation to the onset of the observer's saccade.
Figure 3 shows the results of the first
experiment. Both observers show very similar patterns of sensitivity
for the two conditions, direct and mirrored observation. In both cases
saccadic suppression is manifest >50 msec before saccades are made and
outlasts them by at least 50 msec. The suppression is maximal precisely
at the moment saccades begin. Sensitivity recovers while saccades are in progress and continues to do so after they have been completed.

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Figure 3.
Contrast sensitivity under conditions in which the
video screen was viewed directly (open triangles) or in
a mirror (solid triangles). The horizontal gray
bars indicate the duration of image motion; sensitivity values
<1 indicate indeterminate thresholds. Error estimates calculated using
leave-one-out resampling (Weiss and Kulikowski, 1991 ) are smaller than
symbol size.
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Saccades versus mirror motion
Uniform screen
In the second experiment observers always observed the screen in a
mirror. In one condition they made a saccade as in Experiment 1; in the
other they maintained fixation while the mirror moved, shifting the
image of the screen. The mirror was moved to simulate closely the image
motion caused by saccades (see Materials and Methods).
The two observers (MRD and MCM) showed very little loss of sensitivity
when the mirror moved to shift the image of the screen while they were
maintaining fixation (Fig. 4).

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Figure 4.
Contrast sensitivity during saccades (solid
triangles) and during image motion caused by mirror rotation
(open squares) in which the task was to identify the
brightness polarity of the midline of a flashed grating. Contrast
sensitivity during saccades drops by ~1 log unit and reaches a
minimum at the time of onset of the saccade (t = 0). Changes in contrast sensitivity caused by the movement of the image
alone are comparatively small. The horizontal gray bars
indicate the duration of image motion.
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Patterned noise
The third experiment was identical to the second with two
exceptions. First, the previously uniform screen was covered with a
dense, high-contrast pattern (see Materials and Methods); second, the
task for both observers was to detect the grating rather than report
contrast polarity. The purpose of the patterned noise was to increase
the strength of signals because of image motion, both during saccades
and during mirror motion while fixation was maintained.
The results (Fig. 5) show that the
presence of the pattern reduces overall sensitivity and makes a large
difference to sensitivity loss when the mirror moves, but makes very
little difference to the effects of saccades. Sensitivity loss for
mirror motion is considerably larger with the patterned screen than
with a uniform screen (Fig. 4) and is comparable in magnitude to that
for saccades. More remarkable is that the recovery of sensitivity is
slower for mirror motion than for saccades, with both observers showing lower sensitivity after mirror motion than after saccades for times in
the range of 100-200 msec. Because retinal image motion is identical
when saccades are made and when the mirror moves, the lower sensitivity
after mirror motion than after saccades indicates that preparation for
saccades serves to counteract the aftereffects of image motion.

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Figure 5.
Contrast sensitivity during saccades (solid
triangles) and during image motion caused by mirror rotation
(open squares) where the task was to detect a grating
flashed against a highly patterned background. Contrast sensitivity
changes during saccades are almost identical with those shown in Figure
4. Changes in contrast sensitivity caused by the movement of the image
alone follow a more extended time course of recovery to baseline. From
approximately +75 msec, contrast sensitivity after saccades exceeds
that after mirror motion. The horizontal gray bars
indicate the duration of image motion; sensitivity values <1 indicate
indeterminate thresholds.
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Low luminance
The fourth experiment was again identical to the second except
that observers viewed the screen (in a mirror) through two log-unit
neutral density filters that reduced screen luminance from 17 to 0.17 cd/m2. As Figure
6 shows, there is a reduction in overall
sensitivity for observer MCM of ~0.5 log units when compared with
that found in conditions of high luminance (Fig. 4). The sensitivity
loss accompanying saccades is also less at the low luminance level, although still substantial; here it is ~0.6 log units compared with 1 log unit in high-luminance conditions. This result is in keeping with
that of Burr et al. (1982) , who found that saccadic suppression was
reduced at low luminance. Finally, the results show little sign of any
effect of mirror motion on sensitivity.

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Figure 6.
Contrast sensitivity at low luminance (0.17 cd/m2) during saccades (solid triangles) and
during image motion caused by mirror rotation (open
squares). For MCM, the task was to identify the contrast
polarity of a flashed grating, for JR it was to detect the grating. The
saccade is associated with a loss in contrast sensitivity of ~0.5 log
units, whereas there is virtually no loss in sensitivity associated
with mirror motion. The horizontal gray bars indicate
the duration of image motion; sensitivity values <1 indicate
indeterminate thresholds.
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Equiluminance
The final experiment examined the time course of sensitivity when
saccades were made to stimuli modulated in color at equiluminance. A
related experiment by Burr et al. (1994) showed no evidence of saccadic
suppression from a point 20 msec after saccadic onset, but left open
the possibility there had simply been a rapid recovery in contrast
sensitivity from time t = 0 msec. Also unexamined was the
course of sensitivity in the period immediately preceding the saccade.
The results (Fig. 7) for MCM show a
similar enhancement in sensitivity to that reported in Burr et al.
(1994) , although the point of peak sensitivity in the current
experiment appears ~25 msec later than that reported 6 years ago. The
results for MRD also show some enhancement in sensitivity, peaking at
approximately t = 125 msec, although there is also a slight
drop in sensitivity just before saccadic onset. In addition, the
results for both observers suggest the possibility of a previously
undocumented presaccadic enhancement of contrast sensitivity to
gratings modulated in color.

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Figure 7.
Contrast sensitivity during saccades for gratings
modulated in color (red-green) at equiluminance. The dotted
line represents contrast sensitivity in the absence of saccades
or mirror motion. For both observers, there was some suggestion of
presaccadic enhancement of sensitivity and no sign of the strong
saccadic suppression found with stimuli modulated in luminance. The
sharp peak in sensitivity for MCM at 150 msec is very similar to that
reported in Burr et al. (1994) . The horizontal gray bars
indicate the duration of image motion.
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Model
Our model of saccadic suppression is shown in schematic form in
Figure 8. The flashed horizontal grating
that served as our test stimulus is modeled as a delta function,
T(t), of variable contrast at the various perisaccadic
times. The visual input produced by motion of the patterned screen
background, whether as a result of mirror rotation or saccades, is
modeled as a rectangular function, N(t), set high from time
0 to time of 57 msec, reflecting the duration of mirror rotation and of
saccades. The amplitude of the rectangular profile was a free parameter
of the model, and, in the case of the uniform screen was zero.

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Figure 8.
A model of saccadic suppression. The contrast
change resulting from retinal image motion is added to that resulting
from the presentation of the test stimulus. When saccades are made, a
corollary discharge is also added to the early input. The input is
convolved with the impulse response function of the visual
system, and the output of the convolution is in turn passed
through a nonlinear transducer. The output of the transducer serves as
the basis for a decision about the presence or absence of the test
stimulus (see "Model").
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The choice of a rectangular function is justified by an analysis of
variance of the luminance profile of each point on the retina over
time. When the mirror and the eye are both stationary, the luminance
variation over a short time is zero, whereas when the mirror is moved
or a saccade is made, the illumination of any point on the retina will
change rapidly, around some mean value, as the myriad high and low
luminance pixels sweep across it. The average variance over retinal
position and over trials will be constant during the image motion.
In the first part of the model, the impulse response function of the
visual system is represented as the difference of two n-stage filters (Swanson et al., 1987 ). Its form is given
by:
where n is equal to 5, t0 is the time delay of the second
filter, equal to 76 msec, and and are the time constants of the
filters, equal to 58 and 75 Hz, respectively. The parameters A and B govern the gain of each filter, and in
our model have a ratio of 5.25:1. The final shape of the impulse
response is similar to that derived by Swanson et al. (1987) (see also
Burr and Morrone, 1996 ) at 9 trolands, although we have slightly
adjusted parameter values to produce a simultaneous fit of the model to data for observers MCM and MRD.
To obtain the linear response of the first stage of the model in
conditions when no saccade is made, the test and the patterned noise
are each convolved with the impulse response of the visual system,
giving:
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(1)
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(2)
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and, as a consequence our assumption of
linearity,
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(3)
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The nonlinear responses,
ON(t) for the noise pattern
alone and ON+T(t)for the test
superimposed on the pattern, are then obtained by applying the standard
Naka and Rushton (1966) transformation to the previously obtained
linear outputs:
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(4)
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(5)
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A threshold is established if the difference between the
response to the pattern alone and the response to the pattern-plus-test reaches a predetermined, constant value after taking into
account probability summation (Pelli, 1987 ). This is equivalent to
stating that:
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(6)
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where k is a constant that determines the threshold,
and is the slope of the psychometric function that
determines the steepness of the probability summation.
To simulate the difference between the effects of image motion in the
presence of saccades and image motion without saccades, it is
sufficient to consider a central signal (labeled "corollary discharge" in Fig. 8) included in the input to the early, linear portion of the visual system. A delta function, S(t), that
mimics the action of the corollary discharge is added to the
rectangular function that mimics the effect of image motion,
transforming Equation 3 to:
If the corollary discharge is sufficiently brief, it will generate
a transient suppression. The spike representing the corollary discharge
effectively saturates the nonlinear transducer and reduces the
sensitivity of the visual system to the test stimulus by reducing the
differences between ON(t) and
ON+T(t) that are summed in Equation 6.
Fit to the data
The continuous curves in Figure 9
show the inverse of the minimum amplitude of the test required to
satisfy Equation 6 under each of three conditions: saccades with a
uniform background (Fig. 9a), saccades with a patterned
background (Fig. 9b), and mirror motion with a patterned
background (Fig. 9c). The same parameters, except for an
overall multiplicative scaling, were used for both subjects, yielding a
good fit with a maximum variation of <4 dB.

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Figure 9.
Fit of the model to the experimental data for
saccades with a uniform screen (a), saccades with
a patterned screen (b), and mirror motion with a
patterned screen (c). Solid
triangles indicate data points for saccadic conditions,
open squares indicate data points for
mirror motion. The solid lines in all panels represent
the predictions from the model described in Model.
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The curves in Figure 9, a and b, show the results
of the model when a signal of the kind described in the preceding
subsection a delta function at time 0 is included both for the
uniform screen condition and the patterned screen condition. The model
reproduces the major characteristics of the time course of suppression,
with the peak decrement in sensitivity occurring at t = 0, followed by a gradual and prolonged recovery.
In the case of image motion without saccades (Fig. 9c), the
model is again capable of accounting for the prevailing features of the
time course of visual sensitivity: namely that sensitivity loss starts
~75 msec before any image motion takes place and endures until ~100
msec after the motion stops. At approximately +25 msec, the model
predicts a physically unrealizable threshold (log contrast, >5);
interestingly, for those times it was also impossible to determine a
psychophysical threshold because the subjects' responses were at
chance for the maximum contrast of the test.
Although not shown in Figure 9, the model also correctly predicts the
absence of sensitivity loss that is found with mirror motion together
with a uniform screen.
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DISCUSSION |
Our results indicate that saccades have an effect on contrast
sensitivity that is remarkably consistent across changes in luminance
and image structure (patterned vs uniform screen). In contrast, the
effects of image motion in the absence of saccades depend strongly on
characteristics of the visual image.
For saccades, the general picture is that sensitivity loss begins ~75
msec before the onset of any retinal image motion, is maximal at the
moment of motion onset, and outlasts the saccade by ~50 msec.
Although non-saccadic image motion can produce a somewhat similar
pattern of sensitivity loss, such a pattern only appears when luminance
is high and the image is highly textured. Even then, there are
differences between the effects of saccades and nonsaccadic image
motion, most notably in the somewhat slower recovery of sensitivity in
the no-saccade condition.
Our model places the site of action for saccadic suppression early in
the visual pathway, before a nonlinear stage of signal transduction. It
assumes the visual system responds to motion signals caused by eye
movement and also to a signal of extraretinal origin. These provide a
context within which a stimulus is to be detected. Detection is
successful when the contrast of the stimulus is high enough to produce
a level of activity that, when integrated over time, exceeds by a
sufficient amount the activity that results when the stimulus is absent.
The inclusion of a corollary discharge as part of the input, taken
together with a spreading of activity in time and a nonlinear stage
(see model), has two effects. First, there is a predicted sensitivity
loss for stimuli presented before saccades, consistent with our
results. Second, predicted recovery is faster after saccades than after
image motion in the absence of saccades. The interaction of retinal
input and corollary discharge blunts the effects that motion alone
would have had. The corollary discharge provides the visual system with
some immunity to image motion, and perhaps to awareness of it.
Suppression and compression
The time course of saccadic suppression is very similar to that of
spatial compression (Morrone et al., 1997 ; Ross et al., 1997 ) in which
targets flashed around the time of saccades are seen as displaced in
external space toward their targets. Like suppression, compression
appears before saccades, is maximal at the time they start, reduces
while they are in progress, and finally disappears only after they have
ended. Apparent position is shifted when images are moved at saccadic
speeds by a mirror, but there is no spatial compression (Morrone et
al., 1997 ). The similarity of the time courses of the two effects of
saccades, suppression and compression, suggests they are both driven by
a common mechanism, presumably the spike of corollary discharge assumed
in our model. This signal may not only reduce sensitivity within the
magnocellular pathway, but may also trigger an alteration in the
cortical mapping of external space. Although our model assumes a signal
at time t = 0, the work of Duhamel's group provides
evidence that some lateral intraparietal area (LIP) neurons shift their
receptive fields before saccadic onset (Duhamel et al., 1992 ; Colby et
al., 1995 ). As our model shows, impulse response functions can spread effects in time, and these may account for apparent differences in the
timing of the added signal in our model and that responsible for
alterations in the response characteristics of LIP neurons. Ultimately,
however, the resolution of any apparent discrepancy must await the
determination of the source, time course, and pathway of the putative
corollary discharge.
The task of the visual system is to preserve stability as gaze is
shifted and retinal images of the world moved by saccades. Corollary
discharge may coordinate two main functional changes serving this
purpose: a change of gain that reduces sensitivity to image motion,
providing some immunity to the effects it would otherwise have had; and
a temporary expansion and displacement of receptive fields that allows
a smooth shift of coordinates, at the price of transitory spatial
compression. The price is a small one to pay because compression
affects only transitory targets that flash into view close to the time
saccades are made, not objects that remain in view (Cai et al.,
1997 ).
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FOOTNOTES |
Received Dec. 13, 1999; revised Feb. 18, 2000; accepted Feb. 18, 2000.
This work was supported by Australian Research Council Grant ARC
A79532415, European Community Grant EC BIOCT96-1461, and Human
Frontier Science Program Grant RG0149/1999-B.
Correspondence should be addressed to Mark R. Diamond at the above
address. E-mail: markd{at}psy.uwa.edu.au.
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