Visual Processing in the Macaque Frontal Eye Field

Author(s):  
Takashi Sato ◽  
Kirk Thompson ◽  
Jeffrey Schall ◽  
Aditya Murthy ◽  
Narcisse Bichot
2010 ◽  
Vol 104 (5) ◽  
pp. 2433-2441 ◽  
Author(s):  
Richard P. Heitz ◽  
Jeremiah Y. Cohen ◽  
Geoffrey F. Woodman ◽  
Jeffrey D. Schall

The goal of this study was to obtain a better understanding of the physiological basis of errors of visual search. Previous research has shown that search errors occur when visual neurons in the frontal eye field (FEF) treat distractors as if they were targets. We replicated this finding during an inefficient form search and extended it by measuring simultaneously a macaque homologue of an event-related potential indexing the allocation of covert attention known as the m-N2pc. Based on recent work, we expected errors of selection in FEF to propagate to areas of extrastriate cortex responsible for allocating attention and implicated in the generation of the m-N2pc. Consistent with this prediction, we discovered that when FEF neurons selected a distractor instead of the search target, the m-N2pc shifted in the same, incorrect direction prior to the erroneous saccade. This suggests that such errors are due to a systematic misorienting of attention from the initial stages of visual processing. Our analyses also revealed distinct neural correlates of false alarms and guesses. These results demonstrate that errant gaze shifts during visual search arise from errant attentional processing.


2004 ◽  
Vol 16 (6) ◽  
pp. 1060-1067 ◽  
Author(s):  
Jacinta O'Shea ◽  
Neil G. Muggleton ◽  
Alan Cowey ◽  
Vincent Walsh

Frontal eye field (FEF) neurons discharge in response to behaviorally relevant stimuli that are potential targets for saccades. Distinct visual and motor processes have been dissociated in the FEF of macaque monkeys, but little is known about the visual processing capacity of FEF in humans. We used double-pulse transcranial magnetic stimulation [(d)TMS] to investigate the timing of target discrimination during visual conjunction search. We applied dual TMS pulses separated by 40 msec over the right FEF and vertex. These were applied in five timing conditions to sample separate time windows within the first 200 msec of visual processing. (d)TMS impaired search performance, reflected in reduced d′ scores. This effect was limited to a time window between 40 and 80 msec after search array onset. These parameters correspond with single-cell activity in FEF that predicts monkeys' behavioral reports on hit, miss, false alarm, and correct rejection trials. Our findings demonstrate a crucial early role for human FEF in visual target discrimination that is independent of saccade programming.


1997 ◽  
Vol 78 (3) ◽  
pp. 1373-1383 ◽  
Author(s):  
Marc M. Umeno ◽  
Michael E. Goldberg

Umeno, M. M. and Goldberg, M. E. Spatial processing in the monkey frontal eye field. I. Predictive visual responses. J. Neurophysiol. 78: 1373–1383, 1997. Neurons in the lateral intraparietal area and intermediate layers of the superior colliculus show predictive visual responses. They respond before an impending saccade to a stimulus that will be brought into their receptive field by that saccade. In these experiments we sought to establish whether the monkey frontal eye field had a similar predictive response. We recorded from 100 presaccadic frontal eye field neurons (32 visual cells, 48 visuomovement cells, and 20 movement cells) with the use of the classification criteria of Bruce and Goldberg. We studied each cell in a continuous stimulus task, where the monkey made a saccade that brought a recently appearing stimulus into its receptive field. The latency of response in the continuous stimulus task varied from 52 ms before the saccade to 272 ms after the saccade. We classified cells as having predictive visual responses if their latency in the continuous stimulus task was less than the latency of their visual on response to a stimulus in their receptive or movement field as described in a visual fixation task. Thirty-four percent (11 of 32) of the visual cells, 31% (15 of 48) of the visuomovement cells, and no (0 of 20) movement cells showed a predictive visual response. The cells with predictive responses never responded to the stimulus when the monkey did not make the saccade that would bring that stimulus into the receptive field, and never discharged in association with that saccade unless it brought a stimulus into the receptive field. The response in the continuous stimulus task was almost always weaker than the visual on response to a stimulus flashed in the receptive field. Because cells with visual responses but not cells with movement activity alone showed the effect, we conclude that the predictive visual response is a property of the visual processing in the frontal eye field, i.e., a response to the stimulus in the future receptive field. It is not dependent on the actual planning or execution of a saccade to that stimulus. We suggest that the predictive visual mechanism is one in which the brain dynamically calculates the spatial location of objects in terms of desired displacement. This enables the oculomotor system to perform in a spatially accurate manner when there is a dissonance between the retinal location of a target and the saccade necessary to acquire that target. This mechanism does not require an explicit calculation of target position in some supraretinal coordinatesystem.


2009 ◽  
Vol 102 (6) ◽  
pp. 3656-3672 ◽  
Author(s):  
Ilya E. Monosov ◽  
Kirk G. Thompson

We investigated the link between neuronal activity in the frontal eye field (FEF) and the enhancement of visual processing associated with covert spatial attention in the absence of eye movements. We correlated activity recorded in the FEF of monkeys manually reporting the identity of a visual search target to performance accuracy and reaction time. Monkeys were cued to the most probable target location with a cue array containing a popout color singleton. Neurons exhibited spatially selective responses for the popout cue stimulus and for the target of the search array. The magnitude of activity related to the location of the cue prior to the presentation of the search array was correlated with trends in behavioral performance across valid, invalid, and neutral cue trial conditions. However, the speed and accuracy of the behavioral report on individual trials were predicted by the magnitude of spatial selectivity related to the target to be identified, not for the spatial cue. A minimum level of selectivity was necessary for target detection and a higher level for target identification. Muscimol inactivation of FEF produced spatially selective perceptual deficits in the covert search task that were correlated with the effectiveness of the inactivation and were strongest on invalid cue trials that require an endogenous attention shift. These results demonstrate a strong functional link between FEF activity and covert spatial attention and suggest that spatial signals from FEF directly influence visual processing during the time that a stimulus to be identified is being processed by the visual system.


2010 ◽  
Vol 9 (8) ◽  
pp. 760-760
Author(s):  
M.-H. Grosbras ◽  
J. Lauder ◽  
N. Hoogenboom

2015 ◽  
Vol 114 (6) ◽  
pp. 3201-3210 ◽  
Author(s):  
J. Patrick Mayo ◽  
Amie R. DiTomasso ◽  
Marc A. Sommer ◽  
Matthew A. Smith

Neuronal receptive fields (RFs) provide the foundation for understanding systems-level sensory processing. In early visual areas, investigators have mapped RFs in detail using stochastic stimuli and sophisticated analytical approaches. Much less is known about RFs in prefrontal cortex. Visual stimuli used for mapping RFs in prefrontal cortex tend to cover a small range of spatial and temporal parameters, making it difficult to understand their role in visual processing. To address these shortcomings, we implemented a generalized linear model to measure the RFs of neurons in the macaque frontal eye field (FEF) in response to sparse, full-field stimuli. Our high-resolution, probabilistic approach tracked the evolution of RFs during passive fixation, and we validated our results against conventional measures. We found that FEF neurons exhibited a surprising level of sensitivity to stimuli presented as briefly as 10 ms or to multiple dots presented simultaneously, suggesting that FEF visual responses are more precise than previously appreciated. FEF RF spatial structures were largely maintained over time and between stimulus conditions. Our results demonstrate that the application of probabilistic RF mapping to FEF and similar association areas is an important tool for clarifying the neuronal mechanisms of cognition.


2021 ◽  
Author(s):  
Amélie Aussel ◽  
Ian C. Fiebelkorn ◽  
Sabine Kastner ◽  
Nancy J. Kopell ◽  
Benjamin R. Pittman-Polletta

AbstractEven during sustained attention, enhanced processing of attended stimuli waxes and wanes rhythmically, with periods of enhanced and relatively diminished visual processing (and hit rates) alternating at 4 or 8 Hz in a sustained visual attention task. These alternating attentional states occur alongside alternating dynamical states, in which lateral intraparietal cortex (LIP), the frontal eye field (FEF), and the mediodorsal pulvinar exhibit different activity and connectivity at α, β, and γ frequencies - rhythms associated with visual processing, working memory, and motor suppression. To assess whether and how these multiple interacting rhythms contribute to periodicity in attention, we propose a detailed computational model of FEF and LIP that reproduces the rhythmic dynamics and behavioral consequences of observed attentional states, when driven by θ-rhythmic inputs simulating experimentally-observed pulvinar activity. This model reveals that the frequencies and mechanisms of the observed rhythms optimize sensitivity in visual target detection while maintaining functional flexibility.


2002 ◽  
Vol 357 (1424) ◽  
pp. 1073-1082 ◽  
Author(s):  
Jeffrey D. Schall

Recent research has provided new insights into the neural processes that select the target for and control the production of a shift of gaze. Being a key node in the network that subserves visual processing and saccade production, the frontal eye field (FEF) has been an effective area in which to monitor these processes. Certain neurons in the FEF signal the location of conspicuous or meaningful stimuli that may be the targets for saccades. Other neurons control whether and when the gaze shifts. The existence of distinct neural processes for visual selection and saccade production is necessary to explain the flexibility of visually guided behaviour.


2009 ◽  
Vol 102 (6) ◽  
pp. 3091-3100 ◽  
Author(s):  
Supriya Ray ◽  
Pierre Pouget ◽  
Jeffrey D. Schall

In the previous studies on the neural control of saccade initiation using the countermanding paradigm, movement and visuomovement neurons in the frontal eye field were grouped as movement-related neurons. The activity of both types of neurons was modulated when a saccade was inhibited in response to a stop signal, and this modulation occurred early enough to contribute to the control of the saccade initiation. We now report a functional difference between these two classes of neurons when saccades are produced. Movement neurons exhibited a progressive accumulation of discharge rate following target presentation that triggered a saccade when it reached a threshold. When saccades were inhibited with lower probability in response to a stop signal appearing at longer delays, this accumulating activity was interrupted at levels progressively closer to the threshold. In contrast, visuomovement neurons exhibited a maintained elevated discharge rate following target presentation that was followed by a further enhancement immediately before the saccade initiation. When saccades were inhibited in response to a stop signal, the late enhancement was absent and the maintained activity decayed regardless of stop-signal delay. These results demonstrate that the activity of movement neurons realizes the progressive commitment to the saccade initiation modeled by the activation of the go unit in computational models of countermanding performance. The lack of correspondence of the activity of visuomovement neurons with any elements of these models indicates that visuomovement neurons perform a function other than the saccade preparation such as a corollary discharge to update visual processing.


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