Parameter estimation of the threshold time function in the neural system
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Publication:1050912
DOI10.1007/BF00344397zbMath0513.92007OpenAlexW2036414039WikidataQ52711375 ScholiaQ52711375MaRDI QIDQ1050912
Mitsuyuki Nakao, Ken-ichi Hara, Risaburo Sato, Masayuki Kimura
Publication date: 1983
Published in: Biological Cybernetics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/bf00344397
algorithmneural systemfiring mechanismfirst time crossing probleminterspike interval histogramparameter estimation of threshold time function
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Cites Work
- Probability of neuronal spike initiation as a curve-crossing problem for Gaussian stochastic processes
- Curve-crossing problem for Gaussian stochastic processes and its application to neural modelling
- On statistical methods in neuronal spike-train analysis
- 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
- On the theory of optimal control. Sufficient coordinates
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