Coherent infomax as a computational goal for neural systems

DOI10.1007/s11538-010-9564-xzbMath1213.92005OpenAlexW2021696685WikidataQ51663640 ScholiaQ51663640MaRDI QIDQ535580

W. A. Phillips, Jim W. Kay

Publication date: 13 May 2011

Published in: Bulletin of Mathematical Biology (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11538-010-9564-x

zbMATH Keywords

Bayesian analysisneural networksinformation theorysynaptic plasticityneural codinglearning rulescoherent infomaxcontextual modulationdynamic coordination

Mathematics Subject Classification ID

Probabilistic models, generic numerical methods in probability and statistics (65C20) Learning and adaptive systems in artificial intelligence (68T05) Neural biology (92C20)

Related Items (2)

The Fisher information as a neural guiding principle for independent component analysis ⋮ The Evolution of Representation in Simple Cognitive Networks

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