To refer to this page use:
|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.|
|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|
|Pages:||1 - 23|
|Type of Material:||Journal Article|
|Journal/Proceeding Title:||PLOS Computational Biology|
Items in OAR@Princeton are protected by copyright, with all rights reserved, unless otherwise indicated.