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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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Détails bibliographiques
Publié dans:Entropy (Basel)
Auteurs principaux: Mölter, Jan, Goodhill, Geoffrey J.
Format: Artigo
Langue:Inglês
Publié: MDPI 2020
Sujets:
Accès en ligne:https://ncbi.nlm.nih.gov/pmc/articles/PMC7516973/
https://ncbi.nlm.nih.gov/pubmed/33286264
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/e22040490
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