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Calendar

Lec # Topics Key DATES
1 From Spikes to Rates
2 Perceptrons: Simple and Multilayer
3 Perceptrons as Models of Vision
4 Linear Networks Problem set 1 due
5 Retina
6 Lateral Inhibition and Feature Selectivity Problem set 2 due
7 Objectives and Optimization Problem set 3 due
8 Hybrid Analog-Digital Computation

Ring Network
9 Constraint Satisfaction

Stereopsis
Problem set 4 due
10 Bidirectional Perception
11 Signal Reconstruction Problem set 5 due
12 Hamiltonian Dynamics
Midterm
13 Antisymmetric Networks
14 Excitatory-Inhibitory Networks

Learning
15 Associative Memory
16 Models of Delay Activity

Integrators
Problem set 6 due one day after Lec #16
17 Multistability

Clustering
18 VQ

PCA
Problem set 7 due
19 More PCA

Delta Rule
Problem set 8 due
20 Conditioning

Backpropagation
21 More Backpropagation Problem set 9 due
22 Stochastic Gradient Descent
23 Reinforcement Learning Problem set 10 due
24 More Reinforcement Learning
25 Final Review
Final Exam