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Functional diversity among sensory neurons from efficient coding principles

Gjorgjieva, Julijana and Meister, Markus and Sompolinsky, Haim (2019) Functional diversity among sensory neurons from efficient coding principles. PLOS Computational Biology, 15 (11). Art. No. e1007476. ISSN 1553-7358. PMCID PMC6890262. https://resolver.caltech.edu/CaltechAUTHORS:20191118-080725855

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Abstract

In many sensory systems the neural signal is coded by the coordinated response of heterogeneous populations of neurons. What computational benefit does this diversity confer on information processing? We derive an efficient coding framework assuming that neurons have evolved to communicate signals optimally given natural stimulus statistics and metabolic constraints. Incorporating nonlinearities and realistic noise, we study optimal population coding of the same sensory variable using two measures: maximizing the mutual information between stimuli and responses, and minimizing the error incurred by the optimal linear decoder of responses. Our theory is applied to a commonly observed splitting of sensory neurons into ON and OFF that signal stimulus increases or decreases, and to populations of monotonically increasing responses of the same type, ON. Depending on the optimality measure, we make different predictions about how to optimally split a population into ON and OFF, and how to allocate the firing thresholds of individual neurons given realistic stimulus distributions and noise, which accord with certain biases observed experimentally.


Item Type:Article
Related URLs:
URLURL TypeDescription
https://doi.org/10.1371/journal.pcbi.1007476DOIArticle
https://doi.org/10.1371/journal.pcbi.1007476.s001DOIS1 Fig.
https://doi.org/10.1371/journal.pcbi.1007476.s002DOIS2 Fig.
https://doi.org/10.1371/journal.pcbi.1007476.s003DOIS1 Text
https://doi.org/10.1371/journal.pcbi.1007476.s004DOIS1 Table
https://doi.org/10.1371/journal.pcbi.1007476.s005DOIS2 Table
https://doi.org/10.1371/journal.pcbi.1007476.s006DOIS3 Table
https://doi.org/10.1371/journal.pcbi.1007476.s007DOIS4 Table
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6890262/PubMed CentralArticle
ORCID:
AuthorORCID
Gjorgjieva, Julijana0000-0001-7118-4079
Meister, Markus0000-0003-2136-6506
Additional Information:© 2019 Gjorgjieva et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Received: July 24, 2018; Accepted: October 10, 2019; Published: November 14, 2019. Data Availability Statement: All relevant data are within the paper and its Supporting Information files. All authors were supported by the NIH, the Gatsby Charitable Foundation and the Swartz Foundation. JG was supported by the Max Planck Society and a Burroughs-Wellcome Career Award at the Scientific Interface. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. We thanks Shuai Shao for careful reading of the analytical calculations. Author Contributions: Conceptualization: Julijana Gjorgjieva, Markus Meister, Haim Sompolinsky. Formal analysis: Julijana Gjorgjieva, Markus Meister, Haim Sompolinsky. Funding acquisition: Julijana Gjorgjieva, Markus Meister, Haim Sompolinsky. Investigation: Julijana Gjorgjieva. Methodology: Julijana Gjorgjieva, Markus Meister, Haim Sompolinsky. Software: Julijana Gjorgjieva. Supervision: Markus Meister, Haim Sompolinsky. Visualization: Julijana Gjorgjieva. Writing – original draft: Julijana Gjorgjieva. Writing – review & editing: Julijana Gjorgjieva, Markus Meister, Haim Sompolinsky.
Funders:
Funding AgencyGrant Number
NIHUNSPECIFIED
Gatsby Charitable FoundationUNSPECIFIED
Swartz FoundationUNSPECIFIED
Max-Planck-SocietyUNSPECIFIED
Burroughs-Wellcome FundUNSPECIFIED
Issue or Number:11
PubMed Central ID:PMC6890262
Record Number:CaltechAUTHORS:20191118-080725855
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:20191118-080725855
Official Citation:Gjorgjieva J, Meister M, Sompolinsky H (2019) Functional diversity among sensory neurons from efficient coding principles. PLoS Comput Biol 15(11): e1007476. https://doi.org/10.1371/journal.pcbi.1007476
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:99887
Collection:CaltechAUTHORS
Deposited By: Tony Diaz
Deposited On:18 Nov 2019 16:17
Last Modified:10 Feb 2020 21:12

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