Synaptic Transmission Modeling
Synaptic Transmission Modeling is a computational framework that mathematically represents the dynamics of neurotransmitter release, receptor binding, and postsynaptic potential generation to simulate the functional behavior of synapses within neural circuits.
399
Publications
26K
Citations
1.1K
Authors
510
Institutions
Publications per year
2017–2026
78
399
Neural Networks with Dynamic Synapses
Misha Tsodyks, Klaus Pawelzik, Henry Markram · Neural Computation · 1998 · 992 citations · Full text
Organic core-sheath nanowire artificial synapses with femtojoule energy consumption
Wentao Xu, Sung‐Yong Min, Hyunsang Hwang et al. · Science Advances · 2016 · 560 citations · Full text
1–5 of 399
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Salk Institute for Biological Studies, United States
6 publications · 1.2K citations
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Centre National de la Recherche Scientifique
Paris, France
14 h-index
23 publications
1.9K citations
University of California San Diego
San Diego, United States
13 h-index
33 publications
3.4K citations
Inserm
Paris, France
12 h-index
26 publications
1.9K citations
University College London
London, United Kingdom
12 h-index
30 publications
1.9K citations

Howard Hughes Medical Institute
Chevy Chase, United States
8 h-index
22 publications
6K citations

Salk Institute for Biological Studies
La Jolla, United States
8 h-index
21 publications
6.8K citations
University of Cambridge
Cambridge, United Kingdom
7 h-index
14 publications
2.2K citations
University of Southern California
Los Angeles, United States
7 h-index
26 publications
456 citations
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29 publications · 2.3K citations
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JN · 21 publications · 2K citations
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20 publications · 2.8K citations
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15 publications · 1.8K citations
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14 publications · 454 citations
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