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Title: Transient responses in dynamical neural models
Authors: Stiber, Michael
Segundo, Jose P.
Issue Date: Mar-1994
Series/Report no.: Computer Science Technical Report ; HKUST-CS94-6
Abstract: We consider the input/output behavior of a realistic dynamical neural model in comparison to those typically used in artificial neural networks. We have found that such models duplicate well those behaviors seen in living neurons, displaying a range of behaviors commonly seen in a wide variety of nonlinear dynamical systems. This is not captured well by weighted sum/monotonic transfer function models. An example of the consequences of nonlinear dynamics in neural responses is presented for monotonically changing input transients.
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