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Learning by Message Passing in Networks of Discrete Synapses
We show that a message-passing process allows us to store in binary ``material'' synapses a number of random patterns which almost saturate the information theoretic bounds. We apply the learning algorithm to networks characterized by a wide range of different connection topologies and of size comparable with that of biological …