Using Aperiodic Reinforcement for Directed Self-Organization During Development

Part of Advances in Neural Information Processing Systems 5 (NIPS 1992)

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P. Montague, P. Dayan, S.J. Nowlan, A Pouget, T.J. Sejnowski


We present a local learning rule in which Hebbian learning is conditional on an incorrect prediction of a reinforcement signal. We propose a biological interpretation of such a framework and display its utility through examples in which the reinforcement signal is cast as the delivery of a neuromodulator to its target. Three exam pIes are presented which illustrate how this framework can be applied to the development of the oculomotor system.