| Week | Dates | Topics | Readings and Notes |
|---|---|---|---|
| 1 | Sept. 4 | Introduction Overview of the Brain |
Chapter 1 |
| 2 | Sept. 9-11 | Biological Background Review of Linear Algebra |
Chapters 2-3, PDP handout |
| 3 | Sept. 16-18 | Review of Probability Linear Associators |
Chapters 5-6 Last day to add: Monday Sept. 16 |
| 4 | Sept. 23-25 | Linear Associators Perceptrons |
Chapters 7-8 |
| 5 | Sept. 30-Oct. 2 | Perceptron Convergence Theorem | Chapter 8 |
| 6 | Oct. 7-9 | Gradient Descent Learning The Delta Rule |
Chapter 9 |
| 7 | Oct. 14-16 | Backpropagation: Theory | Chapter 9 |
| 8 | Oct. 21 | F A L L B R E A K | |
| Oct. 23 | Backpropagation: Applications and Variations | Last day to P/NC or drop: Thursday Oct. 24 | |
| 9 | Oct. 28-30 | Hopfield Networks Boltzmann Machines |
Chapter 12 |
| 10 | Nov. 4-6 | Distributed Representations Elman Networks |
Chapter 10 |
| 11 | Nov. 11-13 | Recursive Auto-Associative Memory Coupled Reverberating Elman Networks |
|
| 12 | Nov. 18-20 | Sparse Distributed Memory Genetic Algorithms |
|
| 13 | Nov. 25-27 | Competitive Learning, LVQ Kohonen Self-Organizing Maps |
Chapter 14 |
| T H A N K S G I V I N G B R E A K | |||
| 14 | Dec. 2-4 | Evolving Neural Networks with GAs | |
| 15 | Dec. 9-11 | Project Presentations | |
| PROJECTS DUE: Monday, December 16, 5:00pm | |||