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.