Textbooks and Readings

Required

• Duda, Richard O., Hart, Peter E., and Stork, David G. (2001) Pattern Classification. Second Edition. New York: Wiley.

Recommended

• Schacter, Daniel L. (1996) Searching for Memory: The Brain, the Mind, and the Past. New York: Basic Books. (paper)

Reference

• Amari, Shin–Ichi, and Arbib, Michael A. (Eds.) (1982) Competition and Cooperation in Neural Nets. Lecture Notes in Biomathematics, 45. Berlin: Springer–Verlag. Neural Information Processing Systems, Proceedings of the NIPS Conferences, New York: American Institute of Physics.
• Anderson, James A., and Rosenfeld, Edward (Eds.) (1988) Neurocomputing: Foundations of Research. Cambridge, Mass.: MIT Press.
• Anderson, James. A., Pellionisz, Andras, and Rosenfeld, Edward (Eds.) (1990) Neurocomputing: Directions for Research. Cambridge, Mass.: MIT Press. Annual Review of Neuroscience.
• Arbib, Michael A. (2003) The Handbook of Brain Theory and Neural Networks, Second Edition. Cambridge, Mass.: MIT Press.
• Baddeley, Alan, Conway, Martin, and Aggleton, John (Eds.) (200x) Episodic Memory: New Directions in Research. Oxford, UK: Oxford University Press.
• Bartlett, Frederic C. (1932) Remembering: A Study in Experimental and Social Psychology. Cambridge: Cambridge University Press.
• Bear, Mark F., Connors, Barry W., and Paradiso, Michael A. (1996) Neuroscience: Exploring the Brain. Baltimore: Williams & Wilkins.
• Bergson, Henri (1896) Matter and Memory. (Translated by N.M. Paul & W.S. Palmer, 1912). Zone Books.
• Bilder, Robert M., and LeFever, F. Frank (Eds.) (1998) Neuroscience of the Mind on the Centennial of Freud’s Project for a Scientific Psychology. Annals of the New York Academy of Sciences, Vol. 843. New York: The New York Academy of Sciences.
• Bishop, Christopher M. (1995) Neural Networks for Pattern Recognition. New York: Oxford University Press – Clarendon Press.
• Blanchard, Paul, Devaney, Robert L., and Hall, Glen R. (2002) Differential Equations. Second Edition. Pacific Grove, CA: Brooks/Cole.
• Carpenter, Gail A., and Grossberg, Stephen (Eds.) (1991) Pattern Recognition by Self–Organizing Neural Networks. Cambridge, Mass.: MIT Press.
• Cohen, Neal J., and Eichenbaum, Howard (1993) Memory, Amnesia, and the Hippocampal System. Cambridge, Mass.: MIT Press.
• Cooper, Jack R., Bloom, Floyd E., and Roth, Robert H. (2002) The Biochemical Basis of Neuropharmacology, Eighth Edition. New York: Oxford University Press.
• Colomb, Gregory G. (1990) Style: Toward Clarity and Grace. Chicago: The University of Chicago Press.
• Dasarathy, Belur V. (1991) Nearest Neighbor (NN) Norms: NN Pattern Classification Techniques. Washington, DC: IEEE Computer Society Press.
• Daubechies, Ingrid (1992) Ten Lectures on Wavelets. Philadelphia: Society for Industrial and Applied Mathematics.
• Davis, Paul W., and Moler, Cleve B. (1999) Differential Equations: Modeling with Matlab. Prentice Hall.
• Dodwell, Peter C., and Caelli, Terry (Eds.) (1984) Figural Synthesis. Hillsdale, NJ: Lawrence Erlbaum Asso.
• Dörner, Dietrich (1996) The Logic of Failure: Recognizing and Avoiding Error in Complex Situations. New York: Metropolitan Books. (Translated by Rita Kimber and Robert Kimber)
• Duda, Richard O., and Hart, Peter E. (1973) Pattern Classification and Scene Analysis. New York: Wiley.
• Duda, Richard O., Hart, Peter E., and Stork, David (2001) Pattern Classification. Second Edition. New York: Wiley.
• Ebbinghaus, Hermann (1885) Memory : A Contribution to Experimental Psychology. New York: Dover Publications, Inc. (1964 edition).
• Edelstein–Keshet, Leah (1988) Mathematical Models in Biology. New York: Random House.
• Freud, Sigmund (1886–1899) Project for a Scientific Psychology. In James Strachey (Ed.) The Complete Psychological Works of Sigmund Freud, Vol. I, London: Hogarth Press.
• Gazzaniga, Michael S. (Ed.) (1995) The Cognitive Neurosciences Cambridge, Mass.: MIT Press.
• Gladwell, Malcolm (2005). Blink: The Power of Thinking Without Thinking. New York: Little, Brown and Company.
• Griffith, N. and Todd, P.M. (Eds.) (1999) Musical Networks. MIT Press.
• Grossberg, Stephen (1982) Studies of Mind and Brain: Neural Principles of Learning, Perception, Development, Cognition, and Motor Control. Boston: Reidel / Kluwer Publ.
• Grossberg, Stephen (Ed.) (1987) The Adaptive Brain I: Cognition, Learning, Reinforcement, and Rhythm. Amsterdam: North–Holland.
• Grossberg, Stephen (Ed.) (1987) The Adaptive Brain II: Vision, Speech, Language, and Motor Control. Amsterdam: North–Holland.
• Grossberg, Stephen (Ed.) (1988) Neural Networks and Natural Intelligence. Cambridge, Mass.: MIT Press.
• Haykin, Simon (1999) Neural Networks – A Comprehensive Foundation. Second Edition. Upper Saddle River, NJ: Prentice Hall.
• Hertz, John A., Krogh, Anders, and Palmer, Richard G. (1991) Introduction to the Theory of Neural Computation. Reading, Mass.: Addison–Wesley Publ.
• Hirsch, Morris W., Smale, Stephen, and Devaney, Robert L. (2004) Differential Equations, Dynamical Systems, and an Introduction to Chaos. Second Edition. Amsterdam: Academic Press.
• Hofstadter, Douglas R. (1979) Gödel, Escher, Bach: an Eternal Golden Braid. New York: Random House.
• Kandel, Eric R., Schwartz, James H., and Jessell, Thomas P. (Eds.) (2000) Principles of Neural Science. 4th Edition. New York: McGraw-Hill.
• Kanerva, Pentti (1988) Sparse Distributed Memory. Cambridge, Mass.: MIT Press.
• Kohonen, Teuvo (1988) Self–Organization and Associative Memory, Second Edition. Springer Series in Information Sciences, Vol. 8. Berlin: Springer–Verlag.
• Kosko, Bart (1992) Neural Networks and Fuzzy Systems. Englewood Cliffs, NJ: Prentice Hall.
• Kosslyn, Stephen M., and Andersen, Richard A. (Eds.) (1992) Frontiers in Cognitive Neuroscience. Cambridge, Mass.: MIT Press.
• Lem, Stanislaw (1967) His Master’s Voice. Harvest Books. (Translated from Polish by Michael Kandel.)
• Levine, Daniel S. (2000) Introduction to Neural and Cognitive Modeling. Hillsdale, NJ: Lawrence Erlbaum Associates, 2nd Edition.
• Lin, C.C., and Segel, Lee A. (1974) Mathematics Applied to Deterministic Problems in the Natural Sciences. New York: Macmillan Publ.
• McGaugh, James L., Weinberger, Norman M., and Lynch, Gary (Eds.) (1995). Brain and Memory: Modulation and Mediation of Neuroplasticity. New York: Oxford University Press.
• Mead, Carver (1989) Analog VLSI and Neural Systems. Reading, Mass.: Addison–Wesley Publ.
• Meyer, Yves (Translated and revised by Robert D. Ryan) (1993) Wavelets: Algorithms and Applications. Philadelphia: Society for Industrial and Applied Mathematics.
• Minsky, Marvin, and Papert, Seymour (1969) Perceptrons. Cambridge, Mass.: MIT Press.
• Neopolitan, Richard E. (2004) Learning Bayesian Networks. Upper Saddle River, NJ: Prentice Hall.
• Nicholls, John G., Martin, A. Robert, Wallace, Bruce G., and Fuchs, Paul A., (2001) From Neuron to Brain. Fourth Edition. Sunderland, Mass.: Sinauer Asso.
• Penrose, Roger (1989) The Emperor’s New Mind. New York: Oxford University Press.
• Ramachandran, V.S. (2004) A Brief Tour of Human Consciousness: From Impostor Poodles to Purple Numbers. New York: Pi Press.
• Reason, James (1990) Human Error. Cambridge, UK: Cambridge University Press.
• Rudin, Walter (1964) Principles of Mathematical Analysis. New York: McGraw–Hill.
• Rumelhart, David E., McClelland, James L., and the PDP Research Group (1986) Parallel Distributed Processing: Explorations in the Microstructure of Cognition, Vols. 1 and 2. Cambridge, Mass.: MIT Press.
• Schacter, Daniel L. (1996) Searching for Memory: The Brain, the Mind, and the Past. New York: Basic Books.
• Schacter, Daniel L. (2001) The Seven Sins of Memory: How the Mind Forgets and Remembers. Houghton Mifflin Co..
• Schwartz, Eric (Ed.) (1990) Computational Neuroscience. Cambridge, Mass.: MIT Press.
• Scott, Alwyn (1995) Stairways to the Mind: The Controversial New Science of Consciousness. New York: Springer–Verlag – Copernicus.
• Searle, John R. (1992) The Rediscovery of the Mind. Cambridge, Mass.: MIT Press.
• Shaw, Gordon L., McGaugh, James L., and Rose, Steven P.R. (Eds.) (1990) Neurobiology of Learning and Memory – Reprint Volume. World Scientific Advanced Series in Neuroscience Vol. 2, Teaneck, NJ: World Scientific Publ.
• Smith, Edward E., and Medin, Douglas L. (1981) Categories and Concepts. Cambridge, Mass.: Harvard University Press.
• Smith, Murray (1993) Neural Networks for Statistical Modeling. New York: Van Nostrand Reinhold.
• Squire, Larry R. (1987) Memory and Brain. New York: Oxford University Press.
• Squire, Larry R., and Kandel, Eric R. (2000) Memory: From Mind to Molecules. New York: Owl Books.
• Squire, Larry R., and Schacter, D. (Eds.) (2002) The Neuropsychology of Memory, Third Edition. New York: Guilford Publications.
• Strang, Gilbert (1988) Linear Algebra and its Applications, Third Edition. New York: Harcourt Brace Jovanovich College Publishers.
• Strunk, William, Jr., and White, E.B. (1979) Elements of Style, Third Edition. New York: Macmillan Publ.
• Surowiecki, James (2004) The Wisdom of Crowds: Why the Many Are Smarter Than the Few and How Collective Wisdom Shapes Business, Economies, Societies and Nations. Doubleday.
• Tulving, Endel, and Craik, Fergus I.M. (Eds.) (2000) The Oxford Handbook of Memory. New York: Oxford University Press.
• Vapnik, Vladimir N. (1998) Statistical Learning Theory. New York: John Wiley.
• Witten, Ian H., & Frank, Eibe (2005) Data Mining: Practical Machine Learning Tools and Techniques, Second Edition. Amsterdam: Morgan Kaufmann.
• Xu, Rui, & Wunsch, Don (2008) Clustering. Wiley – IEEE Press.