Course:
Associative Memories
by Alessandro Treves
This course deals with the application of Statistical Mechanics to neural
network dynamics.
Main topics
Day 1 - the Hopfield model, to make evident the connection between
statistical physics concepts & tools and associative memories in the cortex
Day 2 - 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)
Slides 1-2
Day 3 - 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
Slides 3
Day 4 - 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
Slides 4
Each meeting will last 90 min.
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