Transient responses in dynamical neural models
Michael Stiber, José Pedro Segundo · 2002
The authors consider the input/output behavior of a realistic dynamical neural model in comparison to those typically used in artificial neural networks. They 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.>