Solution methods for a new class of simple model neurons

Mark D. Humphries; Kevin Gurney

doi:10.1162/neco.2007.19.12.3216

Solution methods for a new class of simple model neurons

Mark D. Humphries, Kevin Gurney

Research output: Contribution to journal › Article › peer-review

Abstract

Izhikevich (2003) proposed a new canonical neuron model of spike generation. The model was surprisingly simple yet able to accurately replicate the firing patterns of different types of cortical cell. Here, we derive a solution method that allows efficient simulation of the model. © 2007 Massachusetts Institute of Technology.

Original language	English
Pages (from-to)	3216-3225
Number of pages	9
Journal	Neural Computation
Volume	19
Issue number	12
DOIs	https://doi.org/10.1162/neco.2007.19.12.3216
Publication status	Published - Dec 2007

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10.1162/neco.2007.19.12.3216

http://www.mitpressjournals.org/doi/pdf/10.1162/neco.2007.19.12.3216

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title = "Solution methods for a new class of simple model neurons",

abstract = "Izhikevich (2003) proposed a new canonical neuron model of spike generation. The model was surprisingly simple yet able to accurately replicate the firing patterns of different types of cortical cell. Here, we derive a solution method that allows efficient simulation of the model. {\textcopyright} 2007 Massachusetts Institute of Technology.",

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JO - Neural Computation

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Solution methods for a new class of simple model neurons

Abstract

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