Lok-Won Kim, Sameh Asaad, et al.
ACM Transactions on Reconfigurable Technology and Systems
This note presents a local learning rule that enables a network to maximize the mutual information between input and output vectors. The network's output units may be nonlinear, and the distribution of input vectors is arbitrary. The local algorithm also serves to compute the inverse C-1 of an arbitrary square connection weight matrix.
Lok-Won Kim, Sameh Asaad, et al.
ACM Transactions on Reconfigurable Technology and Systems
Geoffrey Grinstein, Ralph Linsker
PNAS
Alina Beygelzimer, Geoffrey Grinstein, et al.
ICAC 2004
Alina Beygelzimer, Geoffrey Grinstein, et al.
Physica A: Statistical Mechanics and its Applications