A Theory for Neural Networks with Time Delays

Part of Advances in Neural Information Processing Systems 3 (NIPS 1990)

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Bert de Vries, José Príncipe


We present a new neural network model for processing of temporal patterns. This model, the gamma neural model, is as general as a convolution delay model with arbitrary weight kernels w(t). We show that the gamma model can be formulated as a (partially prewired) additive model. A temporal hebbian learning rule is derived and we establish links to related existing models for temporal processing.