A working memory model based on fast Hebbian learning

Network. 2003 Nov;14(4):789-802.

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.

Publication types

  • Comparative Study

MeSH terms

  • Computer Simulation
  • Eye Movements
  • Humans
  • Memory, Short-Term / physiology*
  • Models, Neurological*
  • Nerve Net
  • Neural Networks, Computer
  • Neuronal Plasticity / physiology*
  • Neurons / physiology*
  • Prefrontal Cortex / cytology
  • Prefrontal Cortex / physiology
  • Synapses / physiology*
  • Time Factors