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Limitations to Estimating Mutual Information in Large Neural Populations

Information theory provides a powerful framework to analyse the representation of sensory stimuli in neural population activity. However, estimating the quantities involved such as entropy and mutual information from finite samples is notoriously hard and any direct estimate is known to be heavily b...

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Detalles Bibliográficos
Autores principales:	Mölter, Jan, Goodhill, Geoffrey J.
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2020
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7516973/ https://www.ncbi.nlm.nih.gov/pubmed/33286264 http://dx.doi.org/10.3390/e22040490

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