DELAY OF REINFORCEMENT AND RESISTANCE TO EXTINCTION: A SUPPLEMENTARY REPORT.
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Sixty female Ss were assigned randomly to six conditions that involved self-administration of electrical shock. These were: (1) no model-one trial S response; (2) no model-graduated trial S response; (3) one trial model-one trial S response; (4) one trial model-graduated S response; (5) graduated model-one trial response; and (6) graduated model-graduated response. Results indicated that graduated exposure of S to an aversive stimuli was more effective than a single such exposure and that type of exposure provided by a model had little effect.
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In this work we present a neural network model incorporating activity-dependent presynaptic facilitation with multidimensional inputs. The processing unit used is based on a slightly simplified version of the Learning Gate Model proposed by Ciaccia et al. (1992). The network topology integrates a well-known biological neural circuit with a lateral inhibition connection subnet. By means of simulation experiments, we show that the proposed networks exhibit basic and high-order features of associative learning. In particular, overshadowing and blocking are reproduced in the presence of both noise-free and noisy inputs. The role of noise in the development of high-order learning capabilities is also discussed.
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