Cited by 4,828Neural dynamics and brain functionAdvanced Memory and Neural Computingstochastic dynamics and bifurcation

Simple model of spiking neurons

Izhikevich, E.M.·2003·IEEE Transactions on Neural Networks

Abstract

A model is presented that reproduces spiking and bursting behavior of known types of cortical neurons. The model combines the biologically plausibility of Hodgkin-Huxley-type dynamics and the computational efficiency of integrate-and-fire neurons. Using this model, one can simulate tens of thousands of spiking cortical neurons in real time (1 ms resolution) using a desktop PC.

Integrity signals

Registry

Crossref · 10.1109/tnn.2003.820440

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10 of 10 references verified0 citation errors · 0 not checkable

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  • The neuron state transition influences downstream neural activity.

    “The neuron state transition influences downstream neural activity. Using classical neural models like Hodgkin-Huxley or integrate-and-fire (Izhikevich, 2003), the firing probability of a neuron i could be described as (see Equation 5):”

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Authors
Izhikevich, E. M.
Affiliations
Neurosciences Institute (US)
Corresponding author
Izhikevich, E.M.
Venue
IEEE Transactions on Neural Networks
Published
2003-11
Volume
14
Issue
6
Pages
1569-1572
ISSN
1045-9227 (ISSN-L)
OpenAlex
W2164653071
Cited by
4,828
References
10
Citations by year
2026: 263 · 2025: 412 · 2024: 364 · 2023: 393 · 2022: 376 · 2021: 317 · 2020: 280 · 2019: 267 · 2018: 274 · 2017: 250 · 2016: 192 · 2015: 248 · 2014: 211 · 2013: 186 · 2012: 180
FWCI
13.52
Type
journal article
Language
en
Open access
closed
Locations
  • IEEE Transactions on Neural Networks (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
  • Physical Sciences › Engineering › Electrical and Electronic Engineering › Advanced Memory and Neural Computing
  • Physical Sciences › Physics and Astronomy › Statistical and Nonlinear Physics › stochastic dynamics and bifurcation
Keywords
spiking neuron models, cortical neurons, bursting behavior, integrate-and-fire neurons, computational efficiency

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