Identification and estimation algorithm for stochastic neural system

DOI10.1007/BF00337074zbMath0531.92010OpenAlexW2012185575WikidataQ52699154 ScholiaQ52699154MaRDI QIDQ788664

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

Publication date: 1984

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

Full work available at URL: https://doi.org/10.1007/bf00337074

zbMATH Keywords

identificationalgorithmestimationKalman filtersneural spike trainscat's optic tract fibersneural system processoutput spike trainsstochastic neural systems

Mathematics Subject Classification ID

Other natural sciences (mathematical treatment) (92F05) Physiological, cellular and medical topics (92Cxx)

Related Items (1)

Identification and estimation algorithm for stochastic neural system. II

Cites Work

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• Parameter estimation of the threshold time function in the neural system
• Probability of neuronal spike initiation as a curve-crossing problem for Gaussian stochastic processes
• The identification of point process systems
• Curve-crossing problem for Gaussian stochastic processes and its application to neural modelling
• On the relation between fitting autoregression and periodogram with applications
• Dependency representing Markov properties of nonstationary spike trains recorded from the cat's optic tract fibers
• Identification and modelling of a class of nonlinear systems
• Stochastic processes and filtering theory

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