Advances in neural network theory

[1]  J. Elman Representation and structure in connectionist models , 1991 .

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[19]  David J. Burr,et al.  Experiments on neural net recognition of spoken and written text , 1988, IEEE Trans. Acoust. Speech Signal Process..

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[34]  Pat Langley,et al.  A computational theory of motor learning , 1987, Comput. Intell..

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[36]  Stephen Grossberg,et al.  Competitive Learning: From Interactive Activation to Adaptive Resonance , 1987, Cogn. Sci..

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[38]  Geoffrey E. Hinton,et al.  Learning representations by back-propagating errors , 1986, Nature.

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[42]  Allen Newell,et al.  Towards Chunking as a General Learning Mechanism , 1984, AAAI.

[43]  Pat Langley,et al.  Representational Issues in Learning Systems , 1983, Computer.

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[45]  A. Logue Cognitive psychology's representation of behaviorism , 1982, Behavioral and Brain Sciences.

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[47]  H. Roitblat The meaning of representation in animal memory , 1982, Behavioral and Brain Sciences.

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[74]  George Cybenko,et al.  Approximation by superpositions of a sigmoidal function , 1992, Math. Control. Signals Syst..

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[76]  B. Bridgeman,et al.  The physiology of attention: participation of cat striate cortex in behavioral choice , 1989, Psychological research.

[77]  David S. Touretzky,et al.  A Computational Basis for Phonology , 1989, NIPS.

[78]  E. Kehoe Connectionist models of conditioning: A tutorial. , 1989, Journal of the experimental analysis of behavior.

[79]  S. M. Carroll,et al.  Construction of neural nets using the radon transform , 1989, International 1989 Joint Conference on Neural Networks.

[80]  Christoph von der Malsburg,et al.  Pattern recognition by labeled graph matching , 1988, Neural Networks.

[81]  Terrence J. Sejnowski,et al.  NETtalk: a parallel network that learns to read aloud , 1988 .

[82]  Geoffrey E. Hinton,et al.  A Learning Algorithm for Boltzmann Machines , 1985, Cogn. Sci..

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