Robert D. Hawkins. A simple circuit model for higher-order features of classical conditioning. In John H. Byrne and William O. Berry, editors, Neural Models of Plasticity: Experimental and Theoretical Approaches, pages 74--93. Academic Press, 1989.  Home/Search   Document Not in Database   Summary   Related Articles

....here. Some of these mechanisms have previously been modelled elsewhere. Byrne and Gingrich [8] model the effects of chemical diffusion and synaptic vesicle transport within the synapse, which captures the effect of synaptic depression due to vesicle depletion. The model presented byHawkins [20] demonstrates his hypotheses about higher order learning phenomena, as described in [21] The computational model presented here is a straightforward instantiation of the conceptual models used in biology, and a major purpose of the simulation is to test the adequacy of current conceptual models ....

....protein synthesis. son, certain aspects of the experimental data are considered more rigorously than in other models. Parameter selection is based directly on experimental data, and tested against experiments which use different protocols, rather than selected to maximize the desired result [20] or left unspecified [8] The model derived here for the dependency of transmitter release on Ca influx explains aspects of the experimental data that cannot be explained using the simpler models used in [8] and [20] The process underlying associative learning is also modelled in a novel ....

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Robert D. Hawkins. A simple circuit model for higher-order features of classical conditioning. In John H. Byrne and William O. Berry, editors, Neural Models of Plasticity: Experimental and Theoretical Approaches, pages 74--93. Academic Press, 1989.

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