Nonlinear decoding of a complex movie from the mammalian retina - Sorbonne Université Access content directly
Journal Articles PLoS Computational Biology Year : 2018

Nonlinear decoding of a complex movie from the mammalian retina

Abstract

Retina is a paradigmatic system for studying sensory encoding: the transformation of light into spiking activity of ganglion cells. The inverse problem, where stimulus is reconstructed from spikes, has received less attention, especially for complex stimuli that should be reconstructed " pixel-by-pixel ". We recorded around a hundred neurons from a dense patch in a rat retina and decoded movies of multiple small randomly-moving discs. We constructed nonlinear (kernelized and neural network) decoders that improved significantly over linear results. An important contribution to this was the ability of nonlinear decoders to reliably separate between neural responses driven by locally fluctuating light signals, and responses at locally constant light driven by spontaneous-like activity. This improvement crucially depended on the precise, non-Poisson temporal structure of individual spike trains, which originated in the spike-history dependence of neural responses. We propose a general principle by which downstream circuitry could discriminate between spontaneous and stimulus-driven activity based solely on higher-order statistical structure in the incoming spike trains.

Domains

Sensory Organs
Fichier principal
Vignette du fichier
journal.pcbi.1006057.pdf (3.3 Mo) Télécharger le fichier
Origin : Publication funded by an institution
Loading...

Dates and versions

hal-01829717 , version 1 (04-07-2018)

Licence

Attribution

Identifiers

Cite

Vicente Botella-Soler, Stéphane Deny, Georg Martius, Olivier Marre, Gašper Tkačik. Nonlinear decoding of a complex movie from the mammalian retina. PLoS Computational Biology, 2018, 14 (5), pp.e1006057. ⟨10.1371/journal.pcbi.1006057⟩. ⟨hal-01829717⟩
146 View
68 Download

Altmetric

Share

Gmail Facebook X LinkedIn More