Simulation of the classically conditioned nictitating membrane response by a neuron-like adaptive element: response topography, neuronal firing, and interstimulus intervals.

摘要: A neuron-like adaptive element with computational features suitable for classical conditioning, the Sutton-Barto (S-B) model, was extended to simulate real-time aspects of conditioned nictitating membrane (NM) response. The concern were response topography, CR-related neuronal firing, and interstimulus interval (ISI) effects forward-delay trace conditioning paradigms. topography NM CR has following features: latency after CS onset decreases over trials; amplitude increases gradually within ISI attains its maximum coincidentally UR. similar pattern characterizes firing some (but not all) neurons in brain regions demonstrated experimentally be important conditioning. variant S-B model described this paper consists a set parameters implementation rules based on 10-ms time steps. It differs from original number ways. main difference is assumption that inputs are instantaneous but instead shaped by unspecified coding processes so as produce outputs conform properties successfully simulates aforementioned topography. also capable simulating appropriate functions, i.e. strength ISIs 250 ms, model's successful treatment multiple-CS phenomena, such blocking, inhibition, higher-order retained present model.