A First-Order Nonhomogeneous Markov Model for the Response of Spiking Neurons Stimulated by Small Phase-Continuous Signals

DOI10.1162/NECO.2009.06-07-548zbMath1183.68509DBLPjournals/neco/TapsonJSE09arXiv0807.1513OpenAlexW2139483829WikidataQ51853020 ScholiaQ51853020MaRDI QIDQ5323835

Ralph Etienne-Cummings, C. Jin, J. Tapson, André van Schaik

Publication date: 31 July 2009

Published in: Neural Computation (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/0807.1513

zbMATH Keywords

cross-correlationssignal autocorrelations

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)

Cites Work

• Correlated input spike trains and their effects on the response of the leaky integrate-and-fire neuron
• Gaussian Process Approach to Spiking Neurons for Inhomogeneous Poisson Inputs
• Introduction to Theoretical Neurobiology
• Spiking Neuron Models
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