Associative memories

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AssocMemPicture


This course deals with the application of Statistical Mechanics to neural
network dynamics.

Main topics

  • The Hopfield model, to make evident the connection between statistical physics concepts & tools and associative memories in the cortex
  • Diversity of neural networks in the brain, to see that AM models focus on just a portion of the types of neuronal computations we would like to understand (this meeting will be on concepts, no math)
  • Multiple spaces in one memory network – an extension of the Hopfield model analytically “solved” by Francesco Battaglia (1998) and relevant to understand spatial representations in the hippocampus
  • Multiple memories in one spatial network – another extension of the Hopfield model analytically “solved” by Yasser Roudi (2004) and relevant to understand object representations in inferotemporal cortex

    • Resources

    Slides of the course: lectures 1 and 2 , lecture 3 and lecture 4 .

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