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

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Simple model of spiking neurons

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

DOI 10.1109/tnn.2003.820440

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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.

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Dynamical Systems in Neuroscience
Izhikevich, E. M. (2006) · The MIT Press eBooks · doi:10.7551/mitpress/2526.001.0001 · Cited by 3,776
Self-citation
NEURAL EXCITABILITY, SPIKING AND BURSTING
Izhikevich, E. M. (2000) · International Journal of Bifurcation and Chaos · doi:10.1142/s0218127400000840 · Cited by 1,994
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Chattering Cells: Superficial Pyramidal Neurons Contributing to the Generation of Synchronous Oscillations in the Visual Cortex
Gray, C. M., & McCormick, D. A. (1996) · Science · doi:10.1126/science.274.5284.109 · Cited by 906
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Ermentrout, G. B., & Kopell, N. (1986) · SIAM Journal on Applied Mathematics · doi:10.1137/0146017 · Cited by 627
Bursts as a unit of neural information: selective communication via resonance
Izhikevich, E. M., Desai, N. S., Walcott, E. C., & Hoppensteadt, F. C. (2003) · Trends in Neurosciences · doi:10.1016/s0166-2236(03)00034-1 · Cited by 606
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Resonate-and-fire neurons
Izhikevich, E. M. (2001) · Neural Networks · doi:10.1016/s0893-6080(01)00078-8 · Cited by 509
Self-citation
Global and partial synchronism in phase-locked loop networks
Monteiro, L. H. A., Canto, N. C. F., Chauí‐Berlinck, J. G., Orsatti, F. M., & Piqueira, J. R. C. (2003) · IEEE Transactions on Neural Networks · doi:10.1109/tnn.2003.820441 · Cited by 24

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Authors: Izhikevich, E. M.
Affiliations: Neurosciences Institute (US)
Corresponding author: Izhikevich, E.M.
Venue: IEEE Transactions on Neural Networks
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Published: 2003-11
Volume: 14
Issue: 6
Pages: 1569-1572
ISSN: 1045-9227 (ISSN-L)
DOI: 10.1109/tnn.2003.820440
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
Licence: ieeexplore.ieee.org/Xplorehelp/downloads/license-information/IEEE.html (vor)
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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