Statistical inference on markov process of neuronal impulse sequences

DOI10.1007/BF00270759zbMath0283.62079OpenAlexW1988360866WikidataQ52906778 ScholiaQ52906778MaRDI QIDQ4769842

Naohiro Ishii, Hisashi Fujii, Hiroshi Nakahama, Mitsuaki Yamamoto

Publication date: 1974

Published in: Kybernetik (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/bf00270759

Mathematics Subject Classification ID

Markov processes: estimation; hidden Markov models (62M05) Interacting random processes; statistical mechanics type models; percolation theory (60K35) General biology and biomathematics (92B05)

Related Items (5)

Statistical dependency as a measure to evaluate Markov properties of stochastic point processes ⋮ Efficiency of different neuronal codes: Information transfer calculations for three different neuronal systems ⋮ Dependency as a measure to estimate the order and the values of Markov processes ⋮ Modeling Markovian biological systems via optimization operators ⋮ Stochastic processes in neurophysiology: Transformation from point to continuous processes

Cites Work

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• Finite Continuous Time Markov Chains

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