A Rate-Reduced Neuron Model for Complex Spiking Behavior

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Abstract

We present a simple rate-reduced neuron model that captures a wide range of complex, biologically plausible, and physiologically relevant spiking behavior. This includes spike-frequency adaptation, postinhibitory rebound, phasic spiking and accommodation, first-spike latency, and inhibition-induced spiking. Furthermore, the model can mimic different neuronal filter properties. It can be used to extend existing neural field models, adding more biological realism and yielding a richer dynamical structure. The model is based on a slight variation of the Rulkov map.
Original languageEnglish
Article number13
Number of pages18
JournalJournal of mathematical neuroscience
Volume7
DOIs
Publication statusPublished - 11 Dec 2017

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title = "A Rate-Reduced Neuron Model for Complex Spiking Behavior",
abstract = "We present a simple rate-reduced neuron model that captures a wide range of complex, biologically plausible, and physiologically relevant spiking behavior. This includes spike-frequency adaptation, postinhibitory rebound, phasic spiking and accommodation, first-spike latency, and inhibition-induced spiking. Furthermore, the model can mimic different neuronal filter properties. It can be used to extend existing neural field models, adding more biological realism and yielding a richer dynamical structure. The model is based on a slight variation of the Rulkov map.",
author = "Koen Dijkstra and Kouznetsov, {Yuri A.} and {van Putten}, {Michel J.A.M.} and {van Gils}, {Stephan A.}",
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doi = "10.1186/s13408-017-0055-3",
language = "English",
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journal = "Journal of mathematical neuroscience",
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A Rate-Reduced Neuron Model for Complex Spiking Behavior. / Dijkstra, Koen ; Kouznetsov, Yuri A.; van Putten, Michel J.A.M.; van Gils, Stephan A.

In: Journal of mathematical neuroscience, Vol. 7, 13, 11.12.2017.

Research output: Contribution to journalArticleAcademicpeer-review

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T1 - A Rate-Reduced Neuron Model for Complex Spiking Behavior

AU - Dijkstra, Koen

AU - Kouznetsov, Yuri A.

AU - van Putten, Michel J.A.M.

AU - van Gils, Stephan A.

PY - 2017/12/11

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N2 - We present a simple rate-reduced neuron model that captures a wide range of complex, biologically plausible, and physiologically relevant spiking behavior. This includes spike-frequency adaptation, postinhibitory rebound, phasic spiking and accommodation, first-spike latency, and inhibition-induced spiking. Furthermore, the model can mimic different neuronal filter properties. It can be used to extend existing neural field models, adding more biological realism and yielding a richer dynamical structure. The model is based on a slight variation of the Rulkov map.

AB - We present a simple rate-reduced neuron model that captures a wide range of complex, biologically plausible, and physiologically relevant spiking behavior. This includes spike-frequency adaptation, postinhibitory rebound, phasic spiking and accommodation, first-spike latency, and inhibition-induced spiking. Furthermore, the model can mimic different neuronal filter properties. It can be used to extend existing neural field models, adding more biological realism and yielding a richer dynamical structure. The model is based on a slight variation of the Rulkov map.

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DO - 10.1186/s13408-017-0055-3

M3 - Article

VL - 7

JO - Journal of mathematical neuroscience

JF - Journal of mathematical neuroscience

SN - 2190-8567

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