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Journal of Mathematical Biology
|
July 27, 2010
A discrete time neural network model with spiking neurons: II: dynamics with noise
B Cessac
Journal of Mathematical Biology
|
September 18, 2007
A discrete time neural network model with spiking neurons. Rigorous results on the spontaneous dynamics
B Cessac
Journal of Physiology, Paris
|
March 19, 2013
Spike train statistics and Gibbs distributions
B Cessac, R Cofré
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|
October 30, 2014
Exact computation of the maximum-entropy potential of spiking neural-network models
R Cofré, B Cessac
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|
December 17, 2004
Stable resonances and signal propagation in a chaotic network of coupled units
B Cessac, J A Sepulchre
Chaos (Woodbury, N.Y.)
|
April 8, 2006
Transmitting a signal by amplitude modulation in a chaotic network
B Cessac, J A Sepulchre
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|
March 23, 2002
Anomalous scaling and Lee-Yang zeros in self-organized criticality
B Cessac, J L Meunier
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|
July 20, 2001
Lyapunov exponents and transport in the Zhang model of self-organized criticality
B Cessac, P Blanchard, T Krüger
Journal of Neural Engineering
|
March 16, 2012
Parameter estimation in spiking neural networks: a reverse-engineering approach
H Rostro-Gonzalez, B Cessac, T Vieville
Acta Biotheoretica
|
June 1, 1995
Mean-field equations, bifurcation map and chaos in discrete time, continuous state, random neural networks
B Doyon, B Cessac, M Quoy, et al.
Page
of 2
Search research articles
Search
Showing results (1-10 of 11) with videos related to
Sort By:
Page
of 2
Journal of Mathematical Biology
|
July 27, 2010
A discrete time neural network model with spiking neurons: II: dynamics with noise
B Cessac
Journal of Mathematical Biology
|
September 18, 2007
A discrete time neural network model with spiking neurons. Rigorous results on the spontaneous dynamics
B Cessac
Journal of Physiology, Paris
|
March 19, 2013
Spike train statistics and Gibbs distributions
B Cessac, R Cofré
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|
October 30, 2014
Exact computation of the maximum-entropy potential of spiking neural-network models
R Cofré, B Cessac
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|
December 17, 2004
Stable resonances and signal propagation in a chaotic network of coupled units
B Cessac, J A Sepulchre
Chaos (Woodbury, N.Y.)
|
April 8, 2006
Transmitting a signal by amplitude modulation in a chaotic network
B Cessac, J A Sepulchre
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|
March 23, 2002
Anomalous scaling and Lee-Yang zeros in self-organized criticality
B Cessac, J L Meunier
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|
July 20, 2001
Lyapunov exponents and transport in the Zhang model of self-organized criticality
B Cessac, P Blanchard, T Krüger
Journal of Neural Engineering
|
March 16, 2012
Parameter estimation in spiking neural networks: a reverse-engineering approach
H Rostro-Gonzalez, B Cessac, T Vieville
Acta Biotheoretica
|
June 1, 1995
Mean-field equations, bifurcation map and chaos in discrete time, continuous state, random neural networks
B Doyon, B Cessac, M Quoy, et al.
Page
of 2