A working memory model based on fast Hebbian learning

• 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.

Nyckelord

long-term potentiation

prefrontal cortex

associative memory

attractor network

recurrent network

spiking neurons

visual-cortex

dynamics

mechanisms

synapses

TECHNOLOGY

Publikations- och innehållstyp

ref (ämneskategori)

art (ämneskategori)