Processing of Temporal Sequences in Neural Networks

Abstract
We study three ways of processing of temporal sequences of patterns stored in a neural network; retrieval, counting, and recognition. These three processes are studied analytically in a strongly diluted neural network. The results compare qualitatively to simulations in fully connected networks.

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