IEEE Transactions on Neural Networks, volume 14, issue 6, pages 1569-1572

Simple model of spiking neurons

E M Izhikevich 1
1
 
Neurosciences Institute, San Diego, CA, USA
Publication typeJournal Article
Publication date2003-11-01
SJR
CiteScore
Impact factor
ISSN10459227, 19410093
Computer Science Applications
General Medicine
Computer Networks and Communications
Artificial Intelligence
Software
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.

Top-30

Journals

20
40
60
80
100
120
140
Lecture Notes in Computer Science
130 publications, 3.81%
Neural Networks
82 publications, 2.4%
Neurocomputing
73 publications, 2.14%
Frontiers in Neuroscience
69 publications, 2.02%
Neural Computation
50 publications, 1.46%
PLoS ONE
47 publications, 1.38%
Scientific Reports
46 publications, 1.35%
Nonlinear Dynamics
46 publications, 1.35%
PLoS Computational Biology
44 publications, 1.29%
Frontiers in Computational Neuroscience
44 publications, 1.29%
Journal of Computational Neuroscience
44 publications, 1.29%
Physical Review E
41 publications, 1.2%
Cognitive Neurodynamics
40 publications, 1.17%
Chaos
38 publications, 1.11%
Chaos, Solitons and Fractals
38 publications, 1.11%
Frontiers in Neuroinformatics
37 publications, 1.08%
IEEE Access
34 publications, 1%
IEEE Transactions on Neural Networks and Learning Systems
33 publications, 0.97%
Biological Cybernetics
25 publications, 0.73%
BMC Neuroscience
25 publications, 0.73%
IEEE Transactions on Biomedical Circuits and Systems
24 publications, 0.7%
IEEE Transactions on Circuits and Systems I: Regular Papers
23 publications, 0.67%
Physica A: Statistical Mechanics and its Applications
21 publications, 0.62%
International Journal of Neural Systems
20 publications, 0.59%
Communications in Nonlinear Science and Numerical Simulation
19 publications, 0.56%
eLife
19 publications, 0.56%
International Journal of Bifurcation and Chaos in Applied Sciences and Engineering
18 publications, 0.53%
Sensors
16 publications, 0.47%
Electronics (Switzerland)
16 publications, 0.47%
20
40
60
80
100
120
140

Publishers

100
200
300
400
500
600
700
800
900
1000
Institute of Electrical and Electronics Engineers (IEEE)
925 publications, 27.1%
Springer Nature
687 publications, 20.13%
Elsevier
471 publications, 13.8%
Frontiers Media S.A.
200 publications, 5.86%
Cold Spring Harbor Laboratory
137 publications, 4.01%
Public Library of Science (PLoS)
94 publications, 2.75%
MDPI
90 publications, 2.64%
IOP Publishing
83 publications, 2.43%
Wiley
68 publications, 1.99%
World Scientific
59 publications, 1.73%
MIT Press
56 publications, 1.64%
AIP Publishing
54 publications, 1.58%
American Physical Society (APS)
49 publications, 1.44%
Association for Computing Machinery (ACM)
47 publications, 1.38%
Institute of Electronics, Information and Communications Engineers (IEICE)
23 publications, 0.67%
Hindawi Limited
21 publications, 0.62%
eLife Sciences Publications
19 publications, 0.56%
Society for Neuroscience
19 publications, 0.56%
Taylor & Francis
14 publications, 0.41%
The Royal Society
12 publications, 0.35%
Society for Industrial and Applied Mathematics (SIAM)
12 publications, 0.35%
American Physiological Society
12 publications, 0.35%
SAGE
11 publications, 0.32%
American Chemical Society (ACS)
8 publications, 0.23%
Institution of Engineering and Technology (IET)
8 publications, 0.23%
Oxford University Press
8 publications, 0.23%
Proceedings of the National Academy of Sciences (PNAS)
8 publications, 0.23%
Optica Publishing Group
6 publications, 0.18%
Acta Physica Sinica, Chinese Physical Society and Institute of Physics, Chinese Academy of Sciences
6 publications, 0.18%
100
200
300
400
500
600
700
800
900
1000
  • We do not take into account publications without a DOI.
  • Statistics recalculated only for publications connected to researchers, organizations and labs registered on the platform.
  • Statistics recalculated weekly.

Are you a researcher?

Create a profile to get free access to personal recommendations for colleagues and new articles.
Metrics
Share
Cite this
GOST |
Cite this
GOST Copy
Izhikevich E. M. Simple model of spiking neurons // IEEE Transactions on Neural Networks. 2003. Vol. 14. No. 6. pp. 1569-1572.
GOST all authors (up to 50) Copy
Izhikevich E. M. Simple model of spiking neurons // IEEE Transactions on Neural Networks. 2003. Vol. 14. No. 6. pp. 1569-1572.
RIS |
Cite this
RIS Copy
TY - JOUR
DO - 10.1109/TNN.2003.820440
UR - https://doi.org/10.1109/TNN.2003.820440
TI - Simple model of spiking neurons
T2 - IEEE Transactions on Neural Networks
AU - Izhikevich, E M
PY - 2003
DA - 2003/11/01
PB - Institute of Electrical and Electronics Engineers (IEEE)
SP - 1569-1572
IS - 6
VL - 14
SN - 1045-9227
SN - 1941-0093
ER -
BibTex |
Cite this
BibTex (up to 50 authors) Copy
@article{2003_Izhikevich,
author = {E M Izhikevich},
title = {Simple model of spiking neurons},
journal = {IEEE Transactions on Neural Networks},
year = {2003},
volume = {14},
publisher = {Institute of Electrical and Electronics Engineers (IEEE)},
month = {nov},
url = {https://doi.org/10.1109/TNN.2003.820440},
number = {6},
pages = {1569--1572},
doi = {10.1109/TNN.2003.820440}
}
MLA
Cite this
MLA Copy
Izhikevich, E. M.. “Simple model of spiking neurons.” IEEE Transactions on Neural Networks, vol. 14, no. 6, Nov. 2003, pp. 1569-1572. https://doi.org/10.1109/TNN.2003.820440.
Found error?