most citedHow Gibbs distributions may naturally arise from synaptic adaptation mechanisms. A model-based argumentation

11 citations · 13 across the 2 of their papers we have counts for

collaborators

2 papers

nlin.AO2008★ 11 cited

How Gibbs distributions may naturally arise from synaptic adaptation mechanisms. A model-based argumentation

B. Cessac, H. Rostro, J. C. Vasquez +1

This paper addresses two questions in the context of neuronal networks dynamics, using methods from dynamical systems theory and statistical physics: (i) How to characterize the st…

nlin.AO2008★ 2 cited

Statistics of spikes trains, synaptic plasticity and Gibbs distributions

B. Cessac, H. Rostro, J. C. Vasquez +1

We introduce a mathematical framework where the statistics of spikes trains, produced by neural networks evolving under synaptic plasticity, can be analysed.