Identification and estimation algorithm for stochastic neural system. II

DOI10.1007/BF00363997zbMath0561.92008OpenAlexW4238536578WikidataQ52680311 ScholiaQ52680311MaRDI QIDQ2266678

Risaburo Sato, Mitsuyuki Nakao, Masayuki Kimura, Ken-ichi Hara

Publication date: 1985

Published in: Biological Cybernetics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/bf00363997

zbMATH Keywords

algorithmextended Kalman filtersneural networkneural spike trainintensity processcat's visual nervous systemsstochastic neural system

Mathematics Subject Classification ID

Filtering in stochastic control theory (93E11) Identification in stochastic control theory (93E12) Physiological, cellular and medical topics (92Cxx)

Related Items (1)

Maximum likelihood analysis of spike trains of interacting nerve cells

Cites Work

• Identification and estimation algorithm for stochastic neural system
• Parameter estimation of the threshold time function in the neural system
• Identification and modelling of a class of nonlinear systems
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