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The Journal of Neurophysiology Vol. 86 No. 5 November 2001, pp. 2634-2637
Copyright ©2001 by the American Physiological Society
RAPID COMMUNICATION
Vanderbilt Vision Research Center, Department of Psychology, Vanderbilt University, Nashville, Tennessee 37240
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ABSTRACT |
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Murthy, Aditya, Kirk G. Thompson, and Jeffrey D. Schall. Dynamic Dissociation of Visual Selection From Saccade Programming in Frontal Eye Field. J. Neurophysiol. 86: 2634-2637, 2001. Previous studies of visually responsive neurons in the frontal eye fields have identified a selection process preceding saccades during visual search. The goal of this experiment was to determine whether the selection process corresponds to the selection of a conspicuous stimulus or to preparation of the next saccade. This was accomplished with the use of a novel task, called search-step, in which the target of a singleton visual search array switches location with a distracter on random trials. The target step trials created a condition in which the same stimulus yielded saccades either toward or away from the target. Visually responsive neurons in frontal eye field selected the current location of the conspicuous target even when gaze shifted to the location of a distractor. This dissociation demonstrates that the selection process manifest in visual neurons in the frontal eye field may be an explicit interpretation of the image and not an obligatory saccade command.
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INTRODUCTION |
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Eye movements tend to direct
gaze to informative elements in the image, but the location and timing
of gaze shifts are only loosely related to the properties of the image
(e.g., Carpenter 1981
; Hooge and Erkelens
1996
). This arbitrary linkage between the production of
saccades in a given image can be explained by the existence of two
processing stages
a visual-selection stage that identifies potential
targets and a saccade-preparation stage that produces the given
movement. Signals associated with both stages of processing have been
identified in different classes of neurons in the frontal eye field
(FEF), a critical node in the network involved in saccade production
(Schall 1997
). In FEF, visual neurons appear to identify
targets for saccades (e.g., Bichot and Schall 1999
;
Thompson et al. 1996
), while movement and fixation
neurons generate signals sufficient to control whether and when
saccades are produced (Hanes and Schall 1996
;
Hanes et al. 1998
).
Neural correlates of visual selection has been studied recently (e.g.,
Bichot and Schall 1999
; Gottlieb et al.
1998
; Thompson et al. 1996
) using search tasks
that are traditionally used for studies of visual attention. Visually
responsive FEF neurons manifest target selection through the evolution
of greater activation when a stimulus in the neuron's receptive field
is a target relative to when a stimulus is a distractor (Bichot
and Schall 1999
; Schall et al. 1995
;
Thompson and Schall 2000
; Thompson et al.
1996
). Furthermore, using a GO-NOGO task,
Thompson et al. (1997)
showed that the selection process
in response to a visual search array does not depend on the production
of a saccade. However, in that study, the monkeys had been trained to
make saccades to the target, so it could be argued that this selection
process reflects some kind of latent saccade programming.
Alternatively, the selection process may correspond to automatic covert
orienting to a conspicuous stimulus (e.g., Joseph et al.
1997
; Kim and Cave 1995
; Theeuwes 1991
,
1994
). The latter possibility is consistent with the emerging view that eye movements and spatial attention are guided by common selection mechanisms that can be dissociated only under special conditions (e.g., Deubel and Schneider 1996
;
Hoffmann and Subramaniam 1995
; Kowler et al.
1995
). To evaluate the hypothesis that the visual selection
process observed in FEF can be dissociated from saccade production, we
trained monkeys on a novel task we call search-step. The results reveal
a dissociation of visual selection from saccade production in neural
activity in the FEF.
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METHODS |
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Physiological recording techniques have been described
in detail elsewhere (Schall et al. 1995
). Briefly,
monkeys were seated within a magnetic field to monitor eye position by
means of a scleral search coil. Experiments were under computer control
using Tempo/Videosync software (Reflective Computing) that displayed visual stimuli (Sony Trinitron 500-PS monitor), delivered juice reward,
and sampled and stored eye position (250 Hz) and unit activity (1 kHz).
All experimental procedures and care of the animals conformed to
guidelines established by the National Institutes of Health and
approved by the Vanderbilt Animal Care and Use Committee.
The search-step task combines a standard visual search task (with
equiluminant target and distractor stimuli) with the classic double-step saccade task (Fig. 1) (e.g.,
Aslin and Shea 1987
; Becker and Jürgens
1979
; Lisberger et al. 1975
). On most trials (referred to as no-step trials) monkeys were rewarded for making a
saccade to a color oddball target among distractors. On the remaining
trials (step trials), the target and one distractor unexpectedly
swapped positions after presentation of the array. When the target
stepped unpredictably from its original position to a new position,
monkeys were rewarded for directing gaze to the new target location
(compensated trials). However, monkeys often failed to compensate for
the target step and made a saccade to the original target location
(noncompensated trials). This behavior was not rewarded. The target
step delay was adjusted using a staircase procedure so that, on
average, monkeys produced an equal number of compensatory and
noncompensatory saccades. Noncompensated saccade trials provided data
to test the dissociation of visual target selection from saccade
preparation. Because these noncompensatory saccades were usually
followed by corrective saccades (see Fig. 1B), only
presaccadic spikes (i.e., before either the compensated or
noncompensated saccades) were used in constructing the spike density
functions. Neural activity associated with the corrective saccades will
be described in a subsequent report.
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RESULTS |
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We recorded from 55 presaccadic neurons in the FEF of two monkeys; 29 of these neurons had visual responses and formed the basis for this study. Classification was based on the pattern of activation in memory guided saccades. Visual neurons were identified as those that responded to the presentation of a flashed visual stimulus and did not exhibit a growth of activity before a saccade into their receptive field.
Figure 2 shows the responses of a typical
FEF visual neuron. When tested during a memory-guided saccade task,
this neuron exhibited modulation associated with presentation of the
target but no modulation associated with the saccade. As shown
previously (Schall et al. 1995
; Thompson et al.
1996
), this neuron exhibited an initial visual response that
was the same when either the target or distractors fell in the
receptive field. A selection process followed in which the neural
representation of the distractor was reduced and the representation of
the target was maintained or elevated.
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To determine how this selection process relates to saccade production, we examined the activity during target-step trials when a distractor in the receptive field became the target (Fig. 2B). The early phase of the response during target-step trials was identical to the response elicited by a distractor during no-step trials; the early nonselective visual activity was followed by suppression. This is because the stimulus conditions were identical prior to the target step. On target-step trials in which monkeys compensated with a saccade to the final target location in the neuron's receptive field, the activation grew markedly following the target step. If the modulation was only a visual response, it should arise about 50 ms after the target step or approximately 115 ms after the search array (based on the data from no-step trials in Fig. 2A). However, the discharge rate of the neuron became different from the distractor response around 95 ms after the target step or 160 ms after the appearance of the search array. The difference of 45 ms between the expected and observed latencies of modulation cannot be explained by visual afferent delays. Therefore the difference in activity between no-step and target-step trials shown in Fig. 2B is not a consequence of the stimulus in the receptive field changing color per se (i.e., a visual response) but rather is due to the stimulus achieving salience in virtue of becoming the oddball stimulus in the array.
This selection may correspond to saccade preparation, though, because the end point of the saccade coincided with the location of the target. However, on target-step trials in which monkeys failed to compensate and instead produced a saccade to the original target location outside the receptive field, the activity grew in the same manner as for compensated trials. In other words, the activity of this neuron represented accurately the new location of the target regardless of whether compensated or noncompensated saccades were produced. This is strong evidence that this selection process is distinct from immediate saccade production.
To quantify this observation across the population of visual neurons, the mean activity was measured in the 20 ms preceding the mean noncompensatory saccadic reaction time in compensated and noncompensated trials when the distractor in the receptive field became a target and in the same interval in no-step trials when the distractor remained in the receptive field. This interval was chosen to include the period of selective modulation and exclude the nonselective early visual response. The ratio of the mean activity during step trials to the mean activity during no-step trials was computed for each neuron. Only presaccadic activity from target step delays with at least three trials contributed to this analysis.
When a distractor in the receptive field became the target and monkeys compensated, the activation during the selected epoch was significantly greater than the activation when the distractors did not change (arithmetic ratio ± SE = 1.54 ± 0.09; geometric mean = 1.34, 95% confidence interval = 0.18). This difference of activation corresponds to the previously described selection process. The key result of this experiment was obtained when a distractor in the receptive field became the target but the monkeys failed to compensate and shifted gaze to the original target location. In this condition, the activation also was significantly greater than the activation when the distractors did not change (arithmetic ratio ± SE = 1.45 ± 0.09; geometric mean = 1.25, 95% confidence interval = 0.18). This indicates that a neural representation was established for the location that was not the target for the upcoming saccade.
Figure 3 plots the distribution of the magnitude of differential activity in compensated and noncompensated trials as compared with no-step trials across the population. All search-step delays are included. Indistinguishable visual activation was observed when monkeys shifted gaze to the new location of the target in compensated trials or shifted gaze to the original location of the target in noncompensated trials (paired t-test, t = 1.41, P = 0.16). The responses of 25 of 29 visual neurons showed the dissociation of target selection from saccade programming in at least one target-step delay.
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DISCUSSION |
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The role of FEF in overt orienting by directing gaze is undisputed
(Bruce and Goldberg 1985
; Hanes et al.
1998
), but the role of FEF in selecting targets for covert
orienting is less agreed on. Previous single-unit studies have reported
that visual responses in FEF are not enhanced when monkeys respond to
an eccentric stimulus without shifting gaze (Goldberg and
Bushnell 1981
). This has been regarded as evidence that FEF is
responsible for overt but not covert orienting. However, the manner and
extent to which attention was allocated in the Goldberg and Bushnell
study is not entirely clear especially given the costs associated with
dissociating gaze and attention (Deubel and Schneider
1996
; Hoffman and Subramaniam 1995
;
Kowler et al. 1995
). In the Goldberg and Bushnell study, a significant fraction of interleaved trials required a response to a
visual change at the fixation spot instead of the eccentric stimulus.
Therefore it seems unlikely that monkeys would allocate attention
exclusively to the eccentric stimulus. Moreover, the original report
did not disprove that the change of the eccentric stimulus could be
detected without allocating attention. Finally, the enhanced visual
response occurred most commonly several hundred milliseconds before the
stimulus change to which monkeys responded. Therefore it seems neither
necessary that nor clear how the magnitude of the visual response could
relate directly to the attentional allocation required to respond to
the eccentric stimulus. Also, no explicit test or comparable human data
on the allocation of attention in this condition has been presented.
Early studies of the superior colliculus using the same methods drew
the conclusion that it was not involved in covert orienting
(Goldberg and Wurtz 1972
). But subsequent studies have
produced evidence for a role for the superior colliculus in covert
orienting (e.g., Kustov and Robinson 1996
). Therefore
the detection of a change of a single eccentric stimulus in an
otherwise blank display may not be a reliable diagnostic for a neural
correlate of attention.
Several lines of evidence are consistent with the hypothesis that FEF
contributes to covert orienting or at least representing visual
salience in parallel with related brain structures such as the parietal
lobe (Gottlieb et al. 1998
; Steinmetz and
Constantinidis 1995
) and the superior colliculus
(Findlay and Walker 1999
) because the representation of
salient stimuli guides the allocation of attention. First, previous
studies of FEF have shown a dissociation between target selection and
saccade generation during a pop-out search task (Thompson et al.
1996
, 1997
). The selection observed in visually responsive FEF
neurons is consistent with the findings in the psychological literature
indicating that attention is automatically drawn to the singleton in a
visual search array (Joseph et al. 1997
; Kim and
Cave 1995
; Theeuwes 1991
, 1994
). Second, in
conjunction visual search experiments (Bichot and Schall
1999
), the strength of selection was found to vary in
proportion to the number of features a distractor shared with the
target. This pattern of activation of FEF neurons corresponded to the
pattern of gaze shifts (Bichot and Schall 1999
) and the
allocation of attention by humans in such arrays (Kim and Cave
1995
). Third, recent functional imaging studies have shown that
the human homologue of FEF is involved in both overt and covert shifts
of attention (e.g., Corbetta et al. 1998
; Nobre
et al. 1997
). Finally, we now show that visual neurons in FEF
selected conspicuous stimuli that were not the target for the
immediately following saccade.
What does the selective FEF visual activity do? If, as shown by the
present results, it does not dictate the end point of first saccade to
the search array, all that is left is to represent the location of the
new location of the salient target. The fact that monkeys commonly made
a corrective saccade after a noncompensated initial saccade is clear
evidence that the new target location received preferential processing
on step trials. But if visual neurons in FEF could select the new
target location, why did noncompensated trials happen in the first
place? According to the race model that accounts for the performance
(Becker and Jürgens 1979
), saccades to the
original target location are premature responses. The occurrence of
such premature responses is further evidence for distinct sensory and
response stages, and in other work, we have reported that the
movement-related activity in FEF accounts for saccade production in
this task (Murthy et al. 1999
). The fact the monkeys
commonly made a corrective saccade after the noncompensated saccade to
the distractor at the old target location raises the possibility that
the selection we observed could be related more to the production of
the corrective saccade. The results of this study cannot refute an
interpretation of the neural selection in FEF as responsible for
planning the corrective saccade, but we prefer the interpretation that
the activation of the visually responsive neurons in FEF corresponds to
the preferential processing of the visually salient location, which
corresponds to the allocation of attention, that can subsequently
produce the corrective saccade.
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ACKNOWLEDGMENTS |
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We thank V. Stuphorn for helpful discussions and comments on the manuscript, C. Rao for help in Matlab, S. Hoffman for assistance with TEMPO software, A. Ingling for electronics support, and M. Feurtado for help with animal care. J. D. Schall is a Kennedy Center Investigator.
This work was supported by National Eye Institute Grants RO1-EY-08890 and P30-EY-08126.
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FOOTNOTES |
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Address for reprint requests: J. D. Schall, Vanderbilt Vision Research Center, Dept. of Psychology, Vanderbilt University, 111 21st Ave. South, 301 Wilson Hall, Nashville, TN 37240 (E-mail: jeffrey.d.schall{at}vanderbilt.edu).
Received 21 September 2000; accepted in final form 31 July 2001.
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