Conductance-based Neuron Models
Conductance-Based Neuron Model is a type of mathematical neuron model in computational neuroscience that describes the dynamics of membrane potential by explicitly accounting for the flow of ionic currents through voltage- or ligand-gated conductances, thereby distinguishing it from simpler models that rely on phenomenological or current-based approximations.
379
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27.6K
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902
Authors
390
Institutions
Publications per year
2017–2026
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Neuromorphic Silicon Neuron Circuits
Giacomo Indiveri, B. Linares-Barranco, Tara Julia Hamilton et al. · Frontiers in Neuroscience · 2011 · 1.8K citations · Full text
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Brandeis University
Waltham, United States
22 h-index
62 publications
11.9K citations

Centre National de la Recherche Scientifique
Paris, France
21 h-index
96 publications
7.6K citations
Université Paris Cité
Paris, France
14 h-index
30 publications
5.3K citations
École Polytechnique Fédérale de Lausanne
Lausanne, Switzerland
14 h-index
31 publications
3.4K citations

Indian Institute of Science Bangalore
Bengaluru, India
13 h-index
27 publications
1.1K citations
New York University
New York, United States
11 h-index
25 publications
1.6K citations
University of California San Diego
San Diego, United States
11 h-index
32 publications
2.7K citations
Hebrew University of Jerusalem
Jerusalem, Israel
11 h-index
20 publications
2.9K citations
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JN · 42 publications · 4.9K citations
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28 publications · 2.7K citations
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18 publications · 2.9K citations
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15 publications · 1.1K citations
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16 publications · 478 citations
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