Quantifying Information Conveyed by Large Neuronal Populations

DOI10.1162/neco_a_01193zbMath1471.92010OpenAlexW2937914398WikidataQ93062145 ScholiaQ93062145MaRDI QIDQ5154160

John A. Berkowitz, Tatyana O. Sharpee

Publication date: 1 October 2021

Published in: Neural Computation (Search for Journal in Brave)

Full work available at URL: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8519183

zbMATH Keywords

large neural populationsquantifying mutual information

Mathematics Subject Classification ID

Neural networks for/in biological studies, artificial life and related topics (92B20)

Cites Work

• Mutual information, metric entropy and cumulative relative entropy risk
• Graphical Models, Exponential Families, and Variational Inference
• Demystifying Fixed <inline-formula> <tex-math notation="LaTeX">$k$ </tex-math> </inline-formula>-Nearest Neighbor Information Estimators
• Estimation of Entropy and Mutual Information
• Information-Theoretic Bounds and Approximations in Neural Population Coding
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