Modeling stochastic spike train responses of neurons: An extended Wiener series analysis of pigeon auditory nerve fibers

DOI10.1007/s004220050328zbMath0871.92009OpenAlexW2062636961WikidataQ52275783 ScholiaQ52275783MaRDI QIDQ678753

Claus-Peter Richter, Stephan Joeken, Helmut Schwegler

Publication date: 9 June 1997

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

Full work available at URL: https://doi.org/10.1007/s004220050328

zbMATH Keywords

action potential trainsextended functional series expansionsfast orthogonal search algorithmGaussian white noise stimuliinterspike interval distributionspigeon auditory nerve fibersrate-intensity functionsstochastic models of spiking neuronsstochastic nonlinear models of neuronsWiener series representations

Mathematics Subject Classification ID

Neural biology (92C20) Approximation by other special function classes (41A30)

Related Items (2)

Context-dependent coding in single neurons ⋮ Maximum Likelihood Estimation of a Stochastic Integrate-and-Fire Neural Encoding Model

This page was built for publication: Modeling stochastic spike train responses of neurons: An extended Wiener series analysis of pigeon auditory nerve fibers