A working memory model based on fast Hebbian learning.

  • Sandberg A
  • Tegnér J
  • Lansner A
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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.

Author-supplied keywords

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

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  • A Sandberg

  • J Tegnér

  • Anders Lansner

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