期刊
NETWORK-COMPUTATION IN NEURAL SYSTEMS
卷 14, 期 4, 页码 789-802出版社
TAYLOR & FRANCIS INC
DOI: 10.1088/0954-898X/14/4/309
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Recent models of the oculomotor delayed response task have been based on the assumption that working memory is stored as a persistent activity state (a 'bump' state). The delay activity is maintained by a finely tuned synaptic weight matrix producing a line attractor. Here we present an alternative hypothesis, that fast Hebbian synaptic plasticity is the mechanism underlying working memory. A computational model demonstrates a working memory function that is more resistant to distractors and network inhomogeneity compared to previous models, and that is also capable of storing multiple memories.
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