A Neural Model with Multiple Memory Domains
Previous studies with probabilistic neural nets constructed of formal neurons have assumed that all neurons have the same probability of connection with any other neuron in the net. However,in this new study we incorporate a restriction according to which the neural connections are made up by means of chemical markers carried by the individual cells. Results obtained with this new approach show simple and multiple hysteresis phenomena.
Such hysteresis loops may be considered to represent the basis for short-term memory.
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