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Computational modelling of memory retention from synapse to behaviour

Journal of Statistical Mechanics: Theory and Experiment, ISSN: 1742-5468, Vol: 2013, Issue: 3
2013
  • 3
    Citations
  • 0
    Usage
  • 41
    Captures
  • 0
    Mentions
  • 0
    Social Media
Metric Options:   Counts1 Year3 Year

Metrics Details

  • Citations
    3
    • Citation Indexes
      3
  • Captures
    41

Article Description

One of our most intriguing mental abilities is the capacity to store information and recall it from memory. Computational neuroscience has been influential in developing models and concepts of learning and memory. In this tutorial review we focus on the interplay between learning and forgetting. We discuss recent advances in the computational description of the learning and forgetting processes on synaptic, neuronal, and systems levels, as well as recent data that open up new challenges for statistical physicists. © 2013 IOP Publishing Ltd and SISSA Medialab srl.

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