Integrate-and-fire Models
Integrate-and-Fire Models is a mathematical neuron model that describes the evolution of membrane potential as a passive integrator of incoming synaptic currents, differing from biophysically detailed models by simplifying spike generation to a threshold-based reset mechanism.
820
Publications
60.7K
Citations
1.8K
Authors
715
Institutions
Publications per year
2017–2026
194
Parents
820
Simple model of spiking neurons
Eugene M. Izhikevich · IEEE Transactions on Neural Networks · 2003 · 4.8K citations
1–5 of 820
1.8K
École Polytechnique Fédérale de Lausanne, Switzerland
22 publications · 3.4K citations
19
h-index
Bernstein Center for Computational Neuroscience Berlin, Germany
22 publications · 1.1K citations
17
h-index
14
h-index
13
h-index
11
h-index
1–5 of 1.8K
715
New York University
New York, United States
22 h-index
73 publications
3.8K citations

Centre National de la Recherche Scientifique
Paris, France
21 h-index
71 publications
4.3K citations
École Polytechnique Fédérale de Lausanne
Lausanne, Switzerland
20 h-index
47 publications
4.3K citations
Courant Institute of Mathematical Sciences
New York, United States
18 h-index
52 publications
3K citations
Humboldt-Universität zu Berlin
Berlin, Germany
16 h-index
38 publications
1.4K citations
Bernstein Center for Computational Neuroscience Berlin
Berlin, Germany
16 h-index
42 publications
1.3K citations
Université Paris Cité
Paris, France
16 h-index
33 publications
2.7K citations

University of Ottawa
Ottawa, Canada
16 h-index
46 publications
3.1K citations
1–8 of 715
82 publications · 7.5K citations
45
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JN · 33 publications · 5.4K citations
29
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PRE · 33 publications · 2.5K citations
28
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35 publications · 2.5K citations
23
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PRL · 25 publications · 2.2K citations
22
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