| 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 |