Parameter Estimation for Neuron Models

I Tokuda,U Parlitz,L Illing,M Kennel,H Abarbanel

EXPERIMENTAL CHAOS（2003）

Muroran Inst Technol

被引用32|浏览9

摘要

Methods for estimating parameters of the Hindmarsh-Rose (HR) neuron model from a single time series are investigated. Two approaches, (1) synchronization based parameter estimation and (2) adaptive observer, are presented. Both methods are applied to membrane potential data recorded from a single lateral pyloric neuron synaptically isolated from other neurons.

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关键词

Pattern Classification,Information Processing,Radial Basis Function Networks