A Probabilistic Approach to Receptive Field Mapping in the Frontal Eye Fields.
Abstract
Studies of the neuronal mechanisms of perisaccadic vision often lack the resolution
needed to determine important changes in receptive field (RF) structure. Such limited
analytical power can lead to inaccurate descriptions of visuomotor processing. To
address this issue, we developed a precise, probabilistic technique that uses a generalized
linear model (GLM) for mapping the visual RFs of frontal eye field (FEF) neurons during
stable fixation (Mayo et al., 2015). We previously found that full-field RF maps could
be obtained using 1-8 dot stimuli presented at frame rates of 10-150 ms. FEF responses
were generally robust to changes in the number of stimuli presented or the rate of
presentation, which allowed us to visualize RFs over a range of spatial and temporal
resolutions. Here, we compare the quality of RFs obtained over different stimulus
and GLM parameters to facilitate future work on the detailed mapping of FEF RFs. We
first evaluate the interactions between the number of stimuli presented per trial,
the total number of trials, and the quality of RF mapping. Next, we vary the spatial
resolution of our approach to illustrate the tradeoff between visualizing RF sub-structure
and sampling at high resolutions. We then evaluate local smoothing as a possible correction
for situations where under-sampling occurs. Finally, we provide a preliminary demonstration
of the usefulness of a probabilistic approach for visualizing full-field perisaccadic
RF shifts. Our results present a powerful, and perhaps necessary, framework for studying
perisaccadic vision that is applicable to FEF and possibly other visuomotor regions
of the brain.
Type
Journal articleSubject
frontal eye fieldgeneralized linear model
macaque
oculomotor
prefrontal cortex
remapping
saccade
vision
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https://hdl.handle.net/10161/18312Published Version (Please cite this version)
10.3389/fnsys.2016.00025Publication Info
Mayo, J Patrick; Morrison, Robert M; & Smith, Matthew A (2016). A Probabilistic Approach to Receptive Field Mapping in the Frontal Eye Fields. Frontiers in systems neuroscience, 10(MAR). pp. 25. 10.3389/fnsys.2016.00025. Retrieved from https://hdl.handle.net/10161/18312.This is constructed from limited available data and may be imprecise. To cite this
article, please review & use the official citation provided by the journal.
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J. Patrick Mayo
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