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

Access to Document

10.1162/neco.2007.19.12.3216

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

Cite this

@article{9a894189ca9749e6aa323fd02bbe4979,

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.",

author = "Humphries, \{Mark D.\} and Kevin Gurney",

year = "2007",

month = dec,

doi = "10.1162/neco.2007.19.12.3216",

language = "English",

volume = "19",

pages = "3216--3225",

journal = "Neural Computation",

issn = "1530-888X",

publisher = "MIT Press",

number = "12",

}

TY - JOUR

T1 - Solution methods for a new class of simple model neurons

AU - Humphries, Mark D.

AU - Gurney, Kevin

PY - 2007/12

Y1 - 2007/12

N2 - 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.

AB - 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.

U2 - 10.1162/neco.2007.19.12.3216

DO - 10.1162/neco.2007.19.12.3216

M3 - Article

C2 - 17970650

SN - 1530-888X

VL - 19

SP - 3216

EP - 3225

JO - Neural Computation

JF - Neural Computation

IS - 12

ER -

Solution methods for a new class of simple model neurons

Abstract

Access to Document

Fingerprint

Cite this