A neural network for temporal pattern recognition

A neural network that can be trained to recognize a sequence of events in time is presented. It utilizes a process of temporal integration, which is implemented by providing each node with a fading memory and the use of a special interconnect pattern. A simulation model for a motion detector based on the proposed network was implemented. It can be trained to distinguish between several speeds of a moving pattern of random dots.<
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