7 citations · 18 across the 15 of their papers we have counts for
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math.PR2013
Asymptotic description of neural networks with correlated synaptic weights
Olivier Faugeras, James MacLaurin
We study the asymptotic law of a network of interacting neurons when the number of neurons becomes infinite. Given a completely connected network of neurons in which the synaptic w…
math.PR2013
On the form of the relative entropy between measures on the space of continuous functions
James MacLaurin, Olivier Faugeras
In this paper we derive an integral (with respect to time) representation of the relative entropy (or Kullback-Leibler Divergence) between measures mu and P on the space of continu…
math.PR2013
A large deviation principle for networks of rate neurons with correlated synaptic weights
Olivier Faugeras, James MacLaurin
We study the asymptotic law of a network of interacting neurons when the number of neurons becomes infinite. Given a completely connected network of firing rate neurons in which th…