Literature DB >> 17287501

Similar neural representations of the target for saccades and perception during search.

Miguel P Eckstein1, Brent R Beutter, Binh T Pham, Steven S Shimozaki, Leland S Stone.   

Abstract

Are the body's actions and the mind's perceptions the result of shared neural processing, or are they performed largely independently? The brain has two major processing streams, and some have proposed that this division segregates visual processing for action and perception. The ventral pathway is claimed to support conscious experience (perception), whereas the dorsal pathway is claimed to support the control of movement (action). Others have argued that perception and action share much of their visual processing within the primate cortex. During visual search, the brain performs a sophisticated deployment of eye movements (saccadic actions) to gather information to subserve perceptual judgments. The relationship between the neural mechanisms mediating perception and action in visual search remains unexplored. Here, we investigate the visual representation of target information in the human brain, both for perceptual decisions and for saccadic actions during visual search. We use classification image analysis, a form of reverse correlation, to estimate the behavioral receptive fields of the visual mechanisms responsible for saccadic and perceptual responses during the same visual search task. Results show that the behavioral receptive fields mediating the perceptual decisions are indistinguishable from those driving the oculomotor decisions, suggesting that similar neural mechanisms are responsible for both perception and oculomotor action during search. Diverging target representations would result in an inefficient coupling between eye movement planning and perceptual judgments. Thus, a common target representation would be more optimal and might be expected to have evolved through natural selection in the neural systems responsible for visual search.

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Year:  2007        PMID: 17287501      PMCID: PMC6673580          DOI: 10.1523/JNEUROSCI.3975-06.2007

Source DB:  PubMed          Journal:  J Neurosci        ISSN: 0270-6474            Impact factor:   6.167


  19 in total

Review 1.  A theory of eye movements during target acquisition.

Authors:  Gregory J Zelinsky
Journal:  Psychol Rev       Date:  2008-10       Impact factor: 8.934

2.  Modeling guidance and recognition in categorical search: bridging human and computer object detection.

Authors:  Gregory J Zelinsky; Yifan Peng; Alexander C Berg; Dimitris Samaras
Journal:  J Vis       Date:  2013-10-08       Impact factor: 2.240

3.  Constrained sampling experiments reveal principles of detection in natural scenes.

Authors:  Stephen Sebastian; Jared Abrams; Wilson S Geisler
Journal:  Proc Natl Acad Sci U S A       Date:  2017-06-26       Impact factor: 11.205

4.  Eye can read your mind: decoding gaze fixations to reveal categorical search targets.

Authors:  Gregory J Zelinsky; Yifan Peng; Dimitris Samaras
Journal:  J Vis       Date:  2013-12-12       Impact factor: 2.240

5.  What do saliency models predict?

Authors:  Kathryn Koehler; Fei Guo; Sheng Zhang; Miguel P Eckstein
Journal:  J Vis       Date:  2014-03-11       Impact factor: 2.240

6.  Measurement of the useful field of view for single slices of different imaging modalities and targets.

Authors:  Miguel A Lago; Ioannis Sechopoulos; François O Bochud; Miguel P Eckstein
Journal:  J Med Imaging (Bellingham)       Date:  2020-02-08

Review 7.  Acting without seeing: eye movements reveal visual processing without awareness.

Authors:  Miriam Spering; Marisa Carrasco
Journal:  Trends Neurosci       Date:  2015-03-10       Impact factor: 13.837

8.  Oculomotor responses and visuospatial perceptual judgments compete for common limited resources.

Authors:  Marc S Tibber; Simon Grant; Michael J Morgan
Journal:  J Vis       Date:  2009-11-30       Impact factor: 2.240

9.  Evolution and optimality of similar neural mechanisms for perception and action during search.

Authors:  Sheng Zhang; Miguel P Eckstein
Journal:  PLoS Comput Biol       Date:  2010-09-09       Impact factor: 4.475

10.  Learning optimal eye movements to unusual faces.

Authors:  Matthew F Peterson; Miguel P Eckstein
Journal:  Vision Res       Date:  2013-11-26       Impact factor: 1.886

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