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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: 0195181999.

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: 0716715678.

Hubel, David H. Eye, Brain, and Vision. New York, NY: W.H. Freeman & Company, 1987, chapter 3, pp. 39-46. ISBN: 0716750201.

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: 0262071959.

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: 0387057439.
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: 0521431085.

Strang, Gilbert. Introduction to Applied Mathematics. Wellesley, MA: Wellesley-Cambridge Press, 1986, section 4.2, pp. 290-309. ISBN: 0961408804.
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

10 Bidirectional Perception
11 Signal Reconstruction
12 Hamiltonian Dynamics
13 Antisymmetric Networks
14 Excitatory-Inhibitory Networks

15 Associative Memory
16 Models of Delay Activity

17 Multistability

18 VQ

19 More PCA

Delta Rule
20 Conditioning

21 More Backpropagation
22 Stochastic Gradient Descent
23 Reinforcement Learning
24 More Reinforcement Learning
25 Final Review