A method for constructing data-based models of spiking neurons using a dynamic linear-static nonlinear cascade

DOI10.1007/BF00201409zbMath0775.92009OpenAlexW2086299006WikidataQ36765254 ScholiaQ36765254MaRDI QIDQ1802181

Michael G. Paulin

Publication date: 9 August 1993

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

Full work available at URL: https://doi.org/10.1007/bf00201409

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Neural networks for/in biological studies, artificial life and related topics (92B20)

Related Items

Adaptive Spatiotemporal Receptive Field Estimation in the Visual Pathway, Parameter identification of Wiener systems with multisegment piecewise-linear nonlinearities, Stochastic characterization of small-scale algorithms for human sensory processing

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