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Estimating Mutual Information for Spike Trains: A Bird Song Example

Zebra finches are a model animal used in the study of audition. They are adept at recognizing zebra finch songs, and the neural pathway involved in song recognition is well studied. Here, this example is used to illustrate the estimation of mutual information between stimuli and responses using a Ko...

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Autores principales: Witter, Jake, Houghton, Conor
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10606342/
https://www.ncbi.nlm.nih.gov/pubmed/37895534
http://dx.doi.org/10.3390/e25101413
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author Witter, Jake
Houghton, Conor
author_facet Witter, Jake
Houghton, Conor
author_sort Witter, Jake
collection PubMed
description Zebra finches are a model animal used in the study of audition. They are adept at recognizing zebra finch songs, and the neural pathway involved in song recognition is well studied. Here, this example is used to illustrate the estimation of mutual information between stimuli and responses using a Kozachenko–Leonenko estimator. The challenge in calculating mutual information for spike trains is that there are no obvious coordinates for the data. The Kozachenko–Leonenko estimator does not require coordinates; it relies only on the distance between data points. In the case of bird songs, estimating the mutual information demonstrates that the information content of spiking does not diminish as the song progresses.
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spelling pubmed-106063422023-10-28 Estimating Mutual Information for Spike Trains: A Bird Song Example Witter, Jake Houghton, Conor Entropy (Basel) Article Zebra finches are a model animal used in the study of audition. They are adept at recognizing zebra finch songs, and the neural pathway involved in song recognition is well studied. Here, this example is used to illustrate the estimation of mutual information between stimuli and responses using a Kozachenko–Leonenko estimator. The challenge in calculating mutual information for spike trains is that there are no obvious coordinates for the data. The Kozachenko–Leonenko estimator does not require coordinates; it relies only on the distance between data points. In the case of bird songs, estimating the mutual information demonstrates that the information content of spiking does not diminish as the song progresses. MDPI 2023-10-03 /pmc/articles/PMC10606342/ /pubmed/37895534 http://dx.doi.org/10.3390/e25101413 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Witter, Jake
Houghton, Conor
Estimating Mutual Information for Spike Trains: A Bird Song Example
title Estimating Mutual Information for Spike Trains: A Bird Song Example
title_full Estimating Mutual Information for Spike Trains: A Bird Song Example
title_fullStr Estimating Mutual Information for Spike Trains: A Bird Song Example
title_full_unstemmed Estimating Mutual Information for Spike Trains: A Bird Song Example
title_short Estimating Mutual Information for Spike Trains: A Bird Song Example
title_sort estimating mutual information for spike trains: a bird song example
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10606342/
https://www.ncbi.nlm.nih.gov/pubmed/37895534
http://dx.doi.org/10.3390/e25101413
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