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Introduction to Neural Networks >> Content Detail



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Lec #TopicsREADINGS
1From Spikes to RatesAmazon logo 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.
2Perceptrons: Simple and Multilayer
3Perceptrons as Models of VisionAmazon logo 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.

Amazon logo 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
4Linear Networks
5RetinaAmazon logo 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.

Amazon logo 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.
6Lateral Inhibition and Feature SelectivityAmazon logo 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.

Amazon logo Strang, Gilbert. Introduction to Applied Mathematics. Wellesley, MA: Wellesley-Cambridge Press, 1986, section 4.2, pp. 290-309. ISBN: 9780961408800.
7Objectives and Optimization
8Hybrid 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.
9Constraint Satisfaction

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

Learning
15Associative Memory
16Models of Delay Activity

Integrators
17Multistability

Clustering
18VQ

PCA
19More PCA

Delta Rule
20Conditioning

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

 








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