A working memory model based on fast Hebbian learning.

A Sandberg; J Tegnér; A Lansner

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PubMed · 14653503

A working memory model based on fast Hebbian learning.

A Sandberg·J Tegnér·A Lansner

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Abstract

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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Computer Simulation Eye Movements Humans Memory, Short-Term Models, Neurological Nerve Net Neural Networks, Computer Neuronal Plasticity Neurons Prefrontal Cortex Synapses Time Factors Comparative Study Journal Article

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A Sandberg, J Tegnér, A Lansner. 2003. A working memory model based on fast Hebbian learning.. https://pubmed.ncbi.nlm.nih.gov/14653503/

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