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Dynamic predictive coding by the retina

Hosoya, Toshihiko and Baccus, Stephen A. and Meister, Markus (2005) Dynamic predictive coding by the retina. Nature, 436 (7047). pp. 71-77. ISSN 0028-0836. doi:10.1038/nature03689.

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Retinal ganglion cells convey the visual image from the eye to the brain. They generally encode local differences in space and changes in time rather than the raw image intensity. This can be seen as a strategy of predictive coding, adapted through evolution to the average image statistics of the natural environment. Yet animals encounter many environments with visual statistics different from the average scene. Here we show that when this happens, the retina adjusts its processing dynamically. The spatio-temporal receptive fields of retinal ganglion cells change after a few seconds in a new environment. The changes are adaptive, in that the new receptive field improves predictive coding under the new image statistics. We show that a network model with plastic synapses can account for the large variety of observed adaptations.

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Meister, Markus0000-0003-2136-6506
Additional Information:© 2005 Nature Publishing Group. Received 5 September 2004; Accepted 27 April 2005. We thank members of the Meister laboratory, H. Sompolinsky and D. Fisher for advice. This work was supported by grants from the National Eye Institute (M.M. and S.A.B.) and the Human Frontier Science Program (T.H.). Author Contributions T.H. and M.M. planned the study, T.H. and S.A.B. performed the experiments, and T.H. and M.M. completed the analysis and wrote the manuscript.
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National Eye InstituteUNSPECIFIED
Human Frontier Science ProgramUNSPECIFIED
Issue or Number:7047
Record Number:CaltechAUTHORS:20170405-093657286
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Official Citation:Dynamic predictive coding by the retina Toshihiko Hosoya, Stephen A. Baccus and Markus Meister Nature 436, 71-77 (7 July 2005) | doi:10.1038/nature03689
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:75727
Deposited By: Ruth Sustaita
Deposited On:05 Apr 2017 16:55
Last Modified:15 Nov 2021 16:36

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