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A neuronal network model of associative memory and a brain theory
Abstract:
There are facts suggesting that the changes of excitability of neurons and conductance of synapses are responsible for learning and memory. In accordance with the idea, the author proposed a neuronal network model of associative memory, which can learn conditioned reflexes repeatedly together with its adaptive properties, without much interference with the previously existing memories. Further, a modified model can memorize dynamic images and establish motor patterns. An analysis of the structure of the model is presented, and some conclusions about this sort of model are drawn. A theory of memory and learning suggesting that the brain works by means of a mechanism similar to that of the model is proposed, as well as the explanations for some behavioral and clinical findings from the viewpoint of the model.
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