Nonlinear decoding of a complex movie from the mammalian retina

V. Botella Soler, S. Deny, G.S. Martius, O. Marre, G. Tkacik, PLoS Computational Biology 14 (2018) e1006057.

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Journal Article | Published | English
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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.
Publishing Year
Date Published
2018-05-10
Journal Title
PLoS Computational Biology
Volume
14
Issue
5
Article Number
e1006057
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Botella Soler V, Deny S, Martius GS, Marre O, Tkacik G. Nonlinear decoding of a complex movie from the mammalian retina. PLoS Computational Biology. 2018;14(5):e1006057. doi:10.1371/journal.pcbi.1006057
Botella Soler, V., Deny, S., Martius, G. S., Marre, O., & Tkacik, G. (2018). Nonlinear decoding of a complex movie from the mammalian retina. PLoS Computational Biology, 14(5), e1006057. https://doi.org/10.1371/journal.pcbi.1006057
Botella Soler, Vicent, Stephane Deny, Georg S Martius, Olivier Marre, and Gasper Tkacik. “Nonlinear Decoding of a Complex Movie from the Mammalian Retina.” PLoS Computational Biology 14, no. 5 (2018): e1006057. https://doi.org/10.1371/journal.pcbi.1006057.
V. Botella Soler, S. Deny, G. S. Martius, O. Marre, and G. Tkacik, “Nonlinear decoding of a complex movie from the mammalian retina,” PLoS Computational Biology, vol. 14, no. 5, p. e1006057, 2018.
Botella Soler V, Deny S, Martius GS, Marre O, Tkacik G. 2018. Nonlinear decoding of a complex movie from the mammalian retina. PLoS Computational Biology. 14(5), e1006057.
Botella Soler, Vicent, et al. “Nonlinear Decoding of a Complex Movie from the Mammalian Retina.” PLoS Computational Biology, vol. 14, no. 5, Public Library of Science, 2018, p. e1006057, doi:10.1371/journal.pcbi.1006057.
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