Course poster
Topics:
1. Efficient Coding Hypothesis and an introduction to information theory. Criticisms of the hypothesis. [Scribe notes]
2. Prediction and/or “causality inference” using directed information. [Scribe notes]
5. Computation network models. Intro to VLSI theory. [Scribe notes]
6. Intro to network science (guest lecture by Osman Yagan). Application to epileptic networks. [Scribe notes]
7. Metastable dynamics and learning in balanced cortical networks (guest lecture by Brent Doiron). [Scribe notes]
8. Neuromorphic networks (guest lecture by Tom Jackson), [Scribe notes]
9. Small neuronal networks: single neuron as a classifier, Oja's rule. [Scribe notes]
10. Olshausen and Field '96 and '97.
11. Course summary.