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Characterization of Predictive Behavior of a Retina by Mutual Information
Probing a bullfrog retina with spatially uniform light pulses of correlated stochastic intervals, we calculate the mutual information between the spiking output at the ganglion cells measured with multi-electrode array (MEA) and the interval of the stimulus at a time shift later. The time-integrated...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5517465/ https://www.ncbi.nlm.nih.gov/pubmed/28775686 http://dx.doi.org/10.3389/fncom.2017.00066 |
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author | Chen, Kevin Sean Chen, Chun-Chung Chan, C. K. |
author_facet | Chen, Kevin Sean Chen, Chun-Chung Chan, C. K. |
author_sort | Chen, Kevin Sean |
collection | PubMed |
description | Probing a bullfrog retina with spatially uniform light pulses of correlated stochastic intervals, we calculate the mutual information between the spiking output at the ganglion cells measured with multi-electrode array (MEA) and the interval of the stimulus at a time shift later. The time-integrated information from the output about the future stimulus is maximized when the mean interval of the stimulus is within the dynamic range of the well-established anticipative phenomena of omitted-stimulus responses for the retina. The peak position of the mutual information as a function of the time shift is typically negative considering the processing delay of the retina. However, the peak position can become positive for long enough correlation time of the stimulus when the pulse intervals are generated by a Hidden Markovian model (HMM). This is indicative of a predictive behavior of the retina which is possible only when the hidden variable of the HMM can be recovered from the history of the stimulus for a prediction of its future. We verify that stochastic intervals of the same mean, variance, and correlation time do not result in the same predictive behavior of the retina when they are generated by an Ornstein–Uhlenbeck (OU) process, which is strictly Markovian. |
format | Online Article Text |
id | pubmed-5517465 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-55174652017-08-03 Characterization of Predictive Behavior of a Retina by Mutual Information Chen, Kevin Sean Chen, Chun-Chung Chan, C. K. Front Comput Neurosci Neuroscience Probing a bullfrog retina with spatially uniform light pulses of correlated stochastic intervals, we calculate the mutual information between the spiking output at the ganglion cells measured with multi-electrode array (MEA) and the interval of the stimulus at a time shift later. The time-integrated information from the output about the future stimulus is maximized when the mean interval of the stimulus is within the dynamic range of the well-established anticipative phenomena of omitted-stimulus responses for the retina. The peak position of the mutual information as a function of the time shift is typically negative considering the processing delay of the retina. However, the peak position can become positive for long enough correlation time of the stimulus when the pulse intervals are generated by a Hidden Markovian model (HMM). This is indicative of a predictive behavior of the retina which is possible only when the hidden variable of the HMM can be recovered from the history of the stimulus for a prediction of its future. We verify that stochastic intervals of the same mean, variance, and correlation time do not result in the same predictive behavior of the retina when they are generated by an Ornstein–Uhlenbeck (OU) process, which is strictly Markovian. Frontiers Media S.A. 2017-07-20 /pmc/articles/PMC5517465/ /pubmed/28775686 http://dx.doi.org/10.3389/fncom.2017.00066 Text en Copyright © 2017 Chen, Chen and Chan. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Neuroscience Chen, Kevin Sean Chen, Chun-Chung Chan, C. K. Characterization of Predictive Behavior of a Retina by Mutual Information |
title | Characterization of Predictive Behavior of a Retina by Mutual Information |
title_full | Characterization of Predictive Behavior of a Retina by Mutual Information |
title_fullStr | Characterization of Predictive Behavior of a Retina by Mutual Information |
title_full_unstemmed | Characterization of Predictive Behavior of a Retina by Mutual Information |
title_short | Characterization of Predictive Behavior of a Retina by Mutual Information |
title_sort | characterization of predictive behavior of a retina by mutual information |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5517465/ https://www.ncbi.nlm.nih.gov/pubmed/28775686 http://dx.doi.org/10.3389/fncom.2017.00066 |
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