| Lec # | Topics |
|---|---|
| 1 | From Spikes to Rates (PDF) |
| 2 | Perceptrons: Simple and Multilayer |
| 3 | Perceptrons as Models of Vision |
| 4 | Linear Networks |
| 5 | Retina |
| 6 | Lateral Inhibition and Feature Selectivity (PDF 1) (PDF 2) (PDF 3) |
| 7 | Objectives and Optimization |
| 8 | Hybrid Analog-Digital Computation Ring Network |
| 9 | Constraint Satisfaction Stereopsis |
| 10 | Bidirectional Perception |
| 11 | Signal Reconstruction |
| 12 | Hamiltonian Dynamics (PDF) |
| 13 | Antisymmetric Networks (PDF) |
| 14 | Excitatory-Inhibitory Networks (PDF) Learning |
| 15 | Associative Memory |
| 16 | Models of Delay Activity Integrators |
| 17 | Multistability Clustering |
| 18 | VQ (PDF) PCA (PDF) |
| 19 | More PCA Delta Rule (PDF) |
| 20 | Conditioning (PDF) Backpropagation (PDF) |
| 21 | More Backpropagation (PDF) |
| 22 | Stochastic Gradient Descent |
| 23 | Reinforcement Learning |
| 24 | More Reinforcement Learning |
| 25 | Final Review |
