A nonlinear autoregressive Volterra model of the Hodgkin-Huxley equations
From MaRDI portal
Publication:1746820
DOI10.1007/S10827-012-0412-XzbMath1387.92015OpenAlexW1986504446WikidataQ46018296 ScholiaQ46018296MaRDI QIDQ1746820
Vasilis Z. Marmarelis, Steffen E. Eikenberry
Publication date: 26 April 2018
Published in: Journal of Computational Neuroscience (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s10827-012-0412-x
nonparametric modelautoregressive modelVolterra kernelsneuronal modelingnonlinear modelingLaguerre expansions
Related Items (1)
Cites Work
- Unnamed Item
- Unnamed Item
- On the relation between continuous and discrete nonlinear parametric models
- Nonlinear parametric models from Volterra kernels measurements
- Modelling of nonlinear discrete-time systems from intput-output data
- Kernel method for nonlinear analysis: Identification of a biological control system
- A Volterra representation for some neuron models
- White-noise stimulation of the Hodgkin-Huxley model
- Characteristic nonlinearities of the \(3/s\) ictal electroencephalogram identified by nonlinear autoregressive analysis
- Predicting spike timing of neocortical pyramidal neurons by simple threshold models
- Improved Similarity Measures for Small Sets of Spike Trains
- Recursive algorithm for computing the frequency response of a class of non-linear difference equation models
This page was built for publication: A nonlinear autoregressive Volterra model of the Hodgkin-Huxley equations