Nicolas Brunel, Duke Neurobiology, Duke University, North Carolina

Models of Memory in Networks of Neurons (9h)

1. Introduction: neurons, synapses, synaptic plasticity (`learning rules'), networks.

2. Associative memory models: the Hopfield model and generalizations.

3. Models with learning rules inferred from data.

4. Models storing sequences.

5. Optimizing storage capacity or robustness: Gardner approach.

6. Distribution of synaptic weights in optimal networks.