1 citations · 1 across the 3 of their papers we have counts for
3 papers
cond-mat.dis-nn2008
Instabilities in Attractor Networks with Fast Synaptic Fluctuations and Partial Updating of the Neurons Activity
J. J. Torres, J. Marro, J. M. Cortes +1
We present and study a probabilistic neural automaton in which the fraction of simultaneously-updated neurons is a parameter, rho (0, 1) . For small rho, there is relaxation toward…
cs.AI2007★ 1 cited
Loop corrections for message passing algorithms in continuous variable models
Bastian Wemmenhove, Bert Kappen
In this paper we derive the equations for Loop Corrected Belief Propagation on a continuous variable Gaussian model. Using the exactness of the averages for belief propagation for…
cond-mat.dis-nn2003
Combining Hebbian and reinforcement learning in a minibrain model
R. J. C. Bosman, W. A. van Leeuwen, B. Wemmenhove
A toy model of a neural network in which both Hebbian learning and reinforcement learning occur is studied. The problem of `path interference', which makes that the neural net quic…