Error-robust modes of the retinal population code

J. Prentice, O. Marre, M. Ioffe, A. Loback, G. Tkacik, M. Berry, PLoS Computational Biology 12 (2016).

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Journal Article | Published | English
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Abstract
Across the nervous system, certain population spiking patterns are observed far more frequently than others. A hypothesis about this structure is that these collective activity patterns function as population codewords–collective modes–carrying information distinct from that of any single cell. We investigate this phenomenon in recordings of ∼150 retinal ganglion cells, the retina’s output. We develop a novel statistical model that decomposes the population response into modes; it predicts the distribution of spiking activity in the ganglion cell population with high accuracy. We found that the modes represent localized features of the visual stimulus that are distinct from the features represented by single neurons. Modes form clusters of activity states that are readily discriminated from one another. When we repeated the same visual stimulus, we found that the same mode was robustly elicited. These results suggest that retinal ganglion cells’ collective signaling is endowed with a form of error-correcting code–a principle that may hold in brain areas beyond retina.
Publishing Year
Date Published
2016-11-17
Journal Title
PLoS Computational Biology
Acknowledgement
JSP was supported by a C.V. Starr Fellowship from the Starr Foundation (http://www.starrfoundation.org/). GT was supported by Austrian Research Foundation (https://www.fwf.ac.at/en/) grant FWF P25651. MJB received support from National Eye Institute (https://nei.nih.gov/) grant EY 14196 and from the National Science Foundation grant 1504977. The authors thank Cristina Savin and Vicent Botella-Soler for helpful comments on the manuscript.
Volume
12
Issue
11
Article Number
e1005855
IST-REx-ID

Cite this

Prentice J, Marre O, Ioffe M, Loback A, Tkacik G, Berry M. Error-robust modes of the retinal population code. PLoS Computational Biology. 2016;12(11). doi:10.1371/journal.pcbi.1005148
Prentice, J., Marre, O., Ioffe, M., Loback, A., Tkacik, G., & Berry, M. (2016). Error-robust modes of the retinal population code. PLoS Computational Biology, 12(11). https://doi.org/10.1371/journal.pcbi.1005148
Prentice, Jason, Olivier Marre, Mark Ioffe, Adrianna Loback, Gasper Tkacik, and Michael Berry. “Error-Robust Modes of the Retinal Population Code.” PLoS Computational Biology 12, no. 11 (2016). https://doi.org/10.1371/journal.pcbi.1005148.
J. Prentice, O. Marre, M. Ioffe, A. Loback, G. Tkacik, and M. Berry, “Error-robust modes of the retinal population code,” PLoS Computational Biology, vol. 12, no. 11, 2016.
Prentice J, Marre O, Ioffe M, Loback A, Tkacik G, Berry M. 2016. Error-robust modes of the retinal population code. PLoS Computational Biology. 12(11).
Prentice, Jason, et al. “Error-Robust Modes of the Retinal Population Code.” PLoS Computational Biology, vol. 12, no. 11, e1005855, Public Library of Science, 2016, doi:10.1371/journal.pcbi.1005148.
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