Balanced Network Dynamics
Balanced Network Dynamics is a theoretical framework in computational neuroscience that characterizes neural circuit activity by maintaining a dynamic equilibrium between excitatory and inhibitory inputs, thereby enabling stable yet sensitive processing of information in cortical networks.
63
Publications
5.2K
Citations
174
Authors
125
Institutions
Publications per year
2017–2026
30
Parents
63
Avalanches in a Stochastic Model of Spiking Neurons
Marc Benayoun, Jack D. Cowan, Wim van Drongelen et al. · PLoS Computational Biology · 2010 · 207 citations · Full text
1–5 of 63
174
3
h-index
3
h-index
3
h-index
3
h-index
3
h-index
1–5 of 174
125

Centre National de la Recherche Scientifique
Paris, France
7 h-index
15 publications
544 citations
Hebrew University of Jerusalem
Jerusalem, Israel
7 h-index
14 publications
4.3K citations
Laboratoire de Physique Théorique et Modélisation
Pontoise, France
4 h-index
9 publications
310 citations
CY Cergy Paris Université
Cergy-Pontoise, France
4 h-index
9 publications
310 citations

Tel Aviv University
Tel Aviv, Israel
3 h-index
3 publications
81 citations
Théorie Économique, Modélisation et Applications
Cergy-Pontoise, France
3 h-index
6 publications
235 citations
Columbia University
New York, United States
3 h-index
5 publications
92 citations

University of Notre Dame
Notre Dame, United States
3 h-index
6 publications
146 citations
1–8 of 125
6 publications · 366 citations
6
h-index
4 publications · 94 citations
4
h-index
3 publications · 105 citations
3
h-index
3 publications · 127 citations
3
h-index
2 publications · 103 citations
2
h-index
1–5