The spatial structure of a nonlinear receptive field

Gregory W. Schwartz, Haruhisa Okawa, Felice A. Dunn, Josh L. Morgan, Daniel Kerschensteiner, Rachel O. Wong, Fred Rieke

Research output: Contribution to journalArticle

109 Scopus citations

Abstract

Understanding a sensory system implies the ability to predict responses to a variety of inputs from a common model. In the retina, this includes predicting how the integration of signals across visual space shapes the outputs of retinal ganglion cells. Existing models of this process generalize poorly to predict responses to new stimuli. This failure arises in part from properties of the ganglion cell response that are not well captured by standard receptive-field mapping techniques: nonlinear spatial integration and fine-scale heterogeneities in spatial sampling. Here we characterize a ganglion cell's spatial receptive field using a mechanistic model based on measurements of the physiological properties and connectivity of only the primary excitatory circuitry of the retina. The resulting simplified circuit model successfully predicts ganglion-cell responses to a variety of spatial patterns and thus provides a direct correspondence between circuit connectivity and retinal output.

Original languageEnglish
Pages (from-to)1572-1580
Number of pages9
JournalNature neuroscience
Volume15
Issue number11
DOIs
StatePublished - Nov 1 2012

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    Schwartz, G. W., Okawa, H., Dunn, F. A., Morgan, J. L., Kerschensteiner, D., Wong, R. O., & Rieke, F. (2012). The spatial structure of a nonlinear receptive field. Nature neuroscience, 15(11), 1572-1580. https://doi.org/10.1038/nn.3225