The hidden-layer model of hippocampus

摘要

We analyze the problems facing the application to the hippocampus of a recent model of enhanced memory storage by an associative memory, achieved by insertion of a hidden layer. We extend this model to include biological constraints like the limited overall connectivity and the distributed processing in a sequence of maps. We will show that the proposed multiple layer mechanism employing a sparse code and a k-winner-take-all mechanism for the retrieval and completion of binary patterns and temporal sequences can be matched to the layers of the hippocampus, allowing some of its biological features to be understood in terms of the model.