| LEARNING AND REPRSENTATION | | |
M 1/13 | 1. Introduction |
NIH Brain Facts (chapter 1)
| |
W 1/15 | 2. Neurons and Membranes |
McCulloch and Pitts (1943)
| HW 1 out |
M 1/20 | Martin Luther King Day (no class) | | |
W 1/22 | 3. Spikes and Cables | Trappenberg Ch 1.1-2.2 (C) | Matlab tutorial Wean 5201 4:30-5:30 |
M 1/27 | 4. Synapse and Neural Net | Trappenberg Ch 3.1 | |
W 1/29 | 5. Neuron models and Perceptron |
F. Rosenblatt - Perceptron.
| HW 2 out, HW 1 in |
M 2/3 | 6. Synaptic plasticity | Trappenberg Ch 4
Abbott and Nelson (2000)
| |
W 2/5 | 7. Hebbian Learning | Trappenberg Ch 4, HPK Ch 8
Oja (1982)
| |
M 2/10 | 8. Features and Convolutions | HPK Ch 8 | |
W 2/12 | 9. Computaitonal Maps | HPK Ch 9
Kohonen (1982)
| HW 3 out. HW 2 in; |
M 2/17 | 10. Source Separation |
Olshausen and Field (1997)
(2004)
| |
W 2/19 | 11. Belief Net |
Hinton and Salahutdinov (2006)
| |
M 2/24 | 12. Bayesian inference |
Kersten and Yuille (2003)
Weiss et al. (2002).
| |
W 2/26 | 13. Review | | |
M 3/2 | 14. Midterm | | |
W 3/4 | 15. Population Codes |
Ma et al. (2006).
Fiser et al. (2010).
| HW 3 in. HW 4 out |
M 3/9 | Midterm grade, Spring break | | |
W 3/11 | Spring break | | |
M 3/16 | 16. Memories and Mind reading |
Redish, Gallant
| |
W 3/18 | 17. Brain Computer Interface |
Chase and Schwartz
| |
| ASSOCIATION and INTERACTION | | |
M 3/23 | 18. Recurrent and Attractor network |
Hopfield and Tank (1986)
| |
W 3/25 | 19. Memories and Cogntive Maps |
Wikenheiser and Redish (2015)
Hassabis et al. (2007)
| HW 4 in. HW 5 out |
M 3/30 | 20. Hierarchy and Reverse Hierarchy | | |
W 4/1 | 21. Convolutional Neural Networks | | |
M 4/6 | 22. Feedback and recurrent Circuits | | |
W 4/8 | 23. Generative Models | | HW 5 in. HW 6 out. |
M 4/13 | 24. Normalization and Attention | | |
W 4/15 | 25. Reinforcement Learning | | |
F 4/17 | Spring Carnival | | |
M 4/20 | 26. Curiosity and Imagination | | |
W 4/22 | 27. Emotion and Consciouseness | | HW 6 in |
M 4/27 | 28. Review and Connecting the Dots | | |
W 4/29 | 29. Final Examination | | |
F 5/1 | 30. Project Presentation | | Term paper deadline |
R 5/14 | Final Grade due 4 p.m. for Graduates | | |
T 5/19 | Final Grade due 4 p.m. | | |