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High Accuracy Decoding of Dynamical Motion from a Large Retinal Population

Author(s): Marre, Olivier; Botella-Soler, Vicente; Simmons, Kristina D; Mora, Thierry; Tkačik, Gašper; et al

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Abstract: Motion tracking is a challenge the visual system has to solve by reading out the retinal population. Here we recorded a large population of ganglion cells in a dense patch of salamander and guinea pig retinas while displaying a bar moving diffusively. We show that the bar position can be reconstructed from retinal activity with a precision in the hyperacuity regime using a linear decoder acting on 100+ cells. The classical view would have suggested that the firing rates of the cells form a moving hill of activity tracking the bar’s position. Instead, we found that ganglion cells fired sparsely over an area much larger than predicted by their receptive fields, so that the neural image did not track the bar. This highly redundant organization allows for diverse collections of ganglion cells to represent high-accuracy motion information in a form easily read out by downstream neural circuits.
Publication Date: 1-Jul-2015
Electronic Publication Date: 2014
Citation: Marre, Olivier, Botella-Soler, Vicente, Simmons, Kristina D, Mora, Thierry, Tkačik, Gašper, Berry, Michael J. (2015). High Accuracy Decoding of Dynamical Motion from a Large Retinal Population. PLOS Computational Biology, 11 (7), e1004304 - e1004304. doi:10.1371/journal.pcbi.1004304
DOI: doi:10.1371/journal.pcbi.1004304
EISSN: 1553-7358
Pages: 1 - 23
Type of Material: Journal Article
Journal/Proceeding Title: PLOS Computational Biology
Version: Author's manuscript

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