Abstract
Simple network models for object motion, perception of spoken syllables, and learning of simple arithmetic are discussed. Many of the same data representation techniques can be used for all three of these highly dissimilar tasks.
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References
Adelson, E.H. and Movshon, J.A. (1982), Phenomenal coherence of moving visual patterns, Nature, 300, 523–525.
Albright, T.D. (1984), Direction and orientation selective of neurons in visual area MT of the Macaque, Journal of Neurophysiology, 52, 1106–1130.
Anderson, J.A. (1983), Neural models for cognitive computation. IEEE Transactions: Systems, Man, and Cybernetics, SMC-13, 799–815.
Anderson, J.A. (1986), Cognitive Capabilities of a Parallel System. In E. Bienenstock, F. Foglemann, and G. Weisbuch. (Eds.) Disordered Systems and Biological Organization, Berlin: Springer.
Anderson, J.A. and Rosenfeld, E., Eds. (1988) Neurocomputing: Foundations of Research, Cambridge, MA: MIT Press.
Anderson, J.A., Silverstein, J.W., Ritz, S.A., and Jones, R.S., Distinctive features, categorical perception, and probability learning: Some applications of a neural model, Psychological Review, 84, 413–451.
Brugge, J.F. and Reale, R.A. (1985), Auditory cortex, In A. Peters and E.G. Jones, Cerebral Cortex. Volume 4. Association and Auditory Cortices, New York: Plenum Press.
Davis, P.J. and Anderson, J.A., (1979), Nonanalytic aspects of mathematics and their implication for research and education, SIAM Review, 21, 112–127.
Fennema, C.L. and Thompson, W.B. (1979), Velocity determination in scenes containing multiple moving objects, Computer Graphics and Image Processing, 9, 301–315.
Hadamard, J. (1945) The Psychology of Invention in the Mathematical Field, Princeton, NJ: Princeton University Press.
Harrison, T.D. and Fallside, F. (1988), A connectionist structure for phoneme recognition, Technical Report CUED/F-INFENG/TR.15 from Cambridge University Engineering Department.
Hildreth, E.C. (1984), The Measurement of Visual Motion, Cambridge, MA: MIT Press.
Hinton, G.E. and Anderson, J.A., Eds. (1981, 1989), Parallel Models of Associative Memory, (Revised edition, 1989) Hillsdale, NJ: Erlbaum.
Kersten, D., O’Toole, A.J., Sereno, M.E., Knill, D.C. and Anderson, J.A. (1987), Associative learning of scene parameters from images, Applied Optics, 26, 4999–5006.
Kawamoto, A.H. (1985), Dynamic Processes in the (Re)solution of lexical ambiguity, Ph.D. dissertation, Brown University, Providence, RI.
Kawamoto, A.H. and Anderson, J.A. (1985), A neural network model of multistable perception. Acta Psychologica, 59, 35–65.
Kohonen, T. (1988), The ‘neural’ phonetic typewriter, Computer, 21 (March), 11–22.
Landauer, T.K., Kamm, C.A., and Singhal, S. (1988) Teaching a minimally structured back-propagation to recognize speech sounds, In Proceedings of the Cognitive Science Society. 9th Annual Meeting., 531–536, Seattle, WA.
Lippman, R.P. (1989) Review of neural networks for speech recognition, Neural Computation, 1, 1–39.
McClelland, J.L. and Rumelhart, D.E., Eds. (1986), Parallel, Distributed Processing, Volume 2, Cambridge, MA: MIT Press.
Maunsell, J.H.R. and Newsome, W.T. (1987), Visual processing in monkey extrastriate cortex, Annual Review of Neuroscience, 10, 363–401.
Movshon, J.A., Adelson, E.H., Gizzi, M.S. and Newsome, W.T. (1985), The analysis of moving visual patterns, in C. Chagas, R. Gattas, and C.G. Gross (Eds.), Pattern Recogntion Mechanisms, Rome: Vatican Press.
Moyer, R.S. and Landauer, T.K. (1967), Time required for judgement of numberical inequality, Nature, 215, 1519–1520.
Niranjan, M. and Fallside, F. (1988), Neural networks and radial basis functions in classifying static speech patterns, Technical Report CUED/F-INFENG/TR-22 from Department of Engineering, Cambridge, University.
Rossen, M.L. (1989), Speech syllable recognition with a neural network, Ph.D. thesis, Department of Psychology, Brown University, Providence, RI.
Rumelhart, D.E. and McClelland, J.L., Eds. (1986), Parallel, Distributed Processing, Volume 11, Cambridge, MA: MIT Press.
Sereno, M.E. (1989), A neural network model of visual motion processing, Ph.D. thesis, Department of Psychology, Brown University, Providence, RI.
Suga, N. and Jen, P.H.S. (1976), Disproportionate tonotopic representation for processing CF-FM sonar signals in the mustache bat auditory complex, Science, 194, 542–544.
Van Essen, D.C. (1985), Functional organization of primary visual cortex, In A. Peters and E.G. Jones (Eds.) Cerebral Cortex, Volume 3: Visual Cortex, New York: Plenum.
Viscuso, S.R. (1989), Memory for arithmetic facts: A perspective gained from two methodologies, Ph.D. thesis, Department of Psychology, Brown University, Providence, RI.
Viscuso, S.R., Anderson, J.A. and Spoehr, K.T., (1989) Representing simple arithmetic in neural networks, Technical Report 88-01 from Brown University Department of Cognitive and Linguistic Sciences, also in G. Tiberghien, Ed., Advanced Cognitive Science: Theory and Applications, Cambridge: Horwoods.
Waibel, A. (1988), Modular construction of phonetic neural networks, ATR Workshop on Neural Networks and Parallel Distributed Processing, July, 1988, Osaka, Japan.
Watrous, R.L. and Shastri, L. (1987), Learning acoustic features from speech data using connectionist networks, Proceedings of the Ninth Annual Cognitive Science Society Meeting, Seattle, Washington, Hillsdale, NJ: Erlbaum.
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Anderson, J.A., Rossen, M.L., Viscuso, S.R., Sereno, M.E. (1990). Experiments with Representation in Neural Networks: Object Motion, Speech, and Arithmetic. In: Haken, H., Stadler, M. (eds) Synergetics of Cognition. Springer Series in Synergetics, vol 45. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-48779-8_3
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DOI: https://doi.org/10.1007/978-3-642-48779-8_3
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