Control mechanisms of a neural network.
In this paper we consider some classical control theoretic properties of a nonlinear neural network proposed by Oğuztöreli (1979) to represent the activities of constituent neurones in terms of the input signals and coupling (associative) properties. By breaking the network into linear and nonlinear components we have been able to localize the nonlinearities in the individual neural response latencies through the system.
D000818:Animals; D008433:Mathematics; D008959:Models, Neurological; D009431:Neural Conduction; D009433:Neural Inhibition; D009474:Neurons / Q000502:physiology*; D011930:Reaction Time / Q000502:physiology