Schedule Jul 27, 2001
Associative Memory / Temporal Sequences
Dr. Misha Tsodyks
http://www.weizmann.ac.il/home/bnmisha/
In this session, we will talk about neural network models for associative memory. We will start with the original Hopfield model, which will be used to illustrate the main ideas of multi-stability. The solution of the Hopfield model, based on the techniques of statistical physics, will also be presented. Subsequent extensions of the model, aimed at introducing more biologically relevant features, as models for storing temporal sequences will then be described. Finally, we will discuss the results of memory experiments with monkeys and their interpretations in terms of network models.

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First part of lecture
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Second part of lecture
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