| Lec # | Topics | READINGS |
|---|---|---|
| 1 | From Spikes to Rates |  Koch, Christof. Biophysics of Computation: Information Processing in Single Neurons. New York, NY: Oxford University Press, 2004, section 14.2, pp. 335-341. ISBN: 9780195181999.Ermentrout, Bard. "Reduction of Conductance-Based Models with Slow Synapses to Neural Nets." Neural Computation 6, no. 4 (July 1994): 679-695. |
| 2 | Perceptrons: Simple and Multilayer | |
| 3 | Perceptrons as Models of Vision | Marr, David. Vision: A Computational Investigation into the Human Representation and Processing of Visual Information. New York, NY: W.H. Freeman & Company, 1983, section 2.2, pp. 54-79. ISBN: 9780716715672. Hubel, David H. Eye, Brain, and Vision. New York, NY: W.H. Freeman & Company, 1988, chapter 3, pp. 39-46. ISBN: 9780716750208. LeNet Web site |
| 4 | Linear Networks | |
| 5 | Retina | Adelson, E. H. "Lightness Perception and Lightness Illusions." The New Cognitive Neurosciences. Edited by Michael S. Gazzaniga. 2nd ed. Cambridge, MA: MIT Press, 1999, pp. 339-351. ISBN: 9780262071956. Hartline, H. K., and F. Ratliff. "Inhibitory Interaction in the Retina of Limulus." Physiology of Photoreceptor Organs. Edited by Michelangelo G. F. Fuortes. New York, NY: Springer-Verlag, 1972, pp. 382-447. ISBN: 9780387057439. |
| 6 | Lateral Inhibition and Feature Selectivity | Press, William H., Saul A. Teukolsky, William T. Vetterling, and Brian P. Flannery. Numerical Recipes in C: The Art of Scientific Computing. New York, NY: Cambridge University Press, 1992, chapters 12, and 13. ISBN: 9780521431088. Strang, Gilbert. Introduction to Applied Mathematics. Wellesley, MA: Wellesley-Cambridge Press, 1986, section 4.2, pp. 290-309. ISBN: 9780961408800. |
| 7 | Objectives and Optimization | |
| 8 | Hybrid Analog-Digital Computation Ring Network | Hahnloser, R. H., R. Sarpeshkar, M. A. Mahowald, R. J. Douglas, and H. S. Seung. "Digital selection and analog amplification coexist in a cortex-inspired silicon circuit." Nature 405, no. 6789 (June 22, 2000): 947-51. Hahnloser, Richard H., H. Sebastian Seung, and Jean-Jacques Slotine. "Permitted and Forbidden Sets in Symmetric Threshold-Linear Networks." Neural Computation 15, no. 3 (March 2003): 621-38. |
| 9 | Constraint Satisfaction Stereopsis | |
| 10 | Bidirectional Perception | |
| 11 | Signal Reconstruction | |
| 12 | Hamiltonian Dynamics | |
| Midterm | ||
| 13 | Antisymmetric Networks | |
| 14 | Excitatory-Inhibitory Networks Learning | |
| 15 | Associative Memory | |
| 16 | Models of Delay Activity Integrators | |
| 17 | Multistability Clustering | |
| 18 | VQ PCA | |
| 19 | More PCA Delta Rule | |
| 20 | Conditioning Backpropagation | |
| 21 | More Backpropagation | |
| 22 | Stochastic Gradient Descent | |
| 23 | Reinforcement Learning | |
| 24 | More Reinforcement Learning | |
| 25 | Final Review |
Table of Contents
Study Materials
Readings
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