An examination of real-time neuronal models in a classical conditioning framework

The focus is on the unsupervised spatiotemporal single-neuron models of R.S. Sutton and A.G. Barto (1981, 1982), R.A. Rescorla and A.R. Wagner (1972), and A. Klopf. The preliminary results of the learning and activation rules of these and other single-neuron models are presented. Computer simulations of the models were studied within the framework of modern Pavlovian associative learning. The simulation environment was a set of C programs representing the models and an interactive environment which allowed the user to select one of seven different learning strategies.<
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