# 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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dc.contributor.authorMarre, Olivier-
dc.contributor.authorBotella-Soler, Vicente-
dc.contributor.authorSimmons, Kristina D-
dc.contributor.authorMora, Thierry-
dc.contributor.authorTkačik, Gašper-
dc.contributor.authorBerry, Michael J-
dc.date.accessioned2020-02-25T20:11:03Z-
dc.date.available2020-02-25T20:11:03Z-
dc.date.issued2015-07-01en_US
dc.identifier.citationMarre, 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.1004304en_US
dc.identifier.urihttp://arks.princeton.edu/ark:/88435/pr1zb6n-
dc.description.abstractMotion 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.en_US
dc.format.extent1 - 23en_US
dc.language.isoenen_US
dc.relation.ispartofPLOS Computational Biologyen_US
dc.rightsAuthor's manuscripten_US
dc.titleHigh Accuracy Decoding of Dynamical Motion from a Large Retinal Populationen_US
dc.typeJournal Articleen_US
dc.identifier.doidoi:10.1371/journal.pcbi.1004304-
dc.date.eissued2014 - 08 - 14en_US
dc.identifier.eissn1553-7358-
pu.type.symplectichttp://www.symplectic.co.uk/publications/atom-terms/1.0/journal-articleen_US

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