References
Abarbanel, H.D.I. (1996), Analysis of Observed Chaotic Data, New York: Springer-Verlag.
Carpenter, G.A. and Grossberg, S. (1987), 'A Massively Parallel Architecture for a Self-organizing Neural Pattern Recognition Machine', Computer Vision, Graphics, and Image Processing 37, pp. 54–115.
Carpenter, G.A. and Grossberg, S. (1991), Pattern Recognition by Self-organizing Neural Networks, Cambridge, MA: MIT Press.
Christiansen, M.H. and Chater, N. (1999), 'Toward a Connectionist Model of Recursion in Human Linguistic Performance', Cognitive Science 23, pp. 157–205.
Cohen, M.A. and Grossberg, S. (1987), 'Masking Fields: a Massively Parallel Neural Architecture for Learning, Recognizing, and Predicting Groupings of Patterned Data', Applied Optics 26, pp. 1866–1891.
Crutchfield, J.P. (1994), 'The Calculi of Emergence: Computation, Dynamics, and Induction', Physica D 75, pp. 11–54. (In the special issue on the Proceedings of the Oji International Seminar, Complex Systems – from Complex Dynamics to Artificial Reality).
Desain, P., Honing, H. and Rijk, K. de (1992), 'The Quantization of Musical Time: a Connectionist Approach', in P. Desain and H. Honing, eds., Music, Mind and Machine: Studies in Computer Music, Music Cognition and Artificial Intelligence, Amsterdam: Thesis Publishers, pp. 43–58.
Grossberg, S. and Rudd, M.E. (l989), 'A Neural Architecture for Visual Motion Perception: Group and Element Apparent Motion', Neural Networks 2, pp. 421–450.
Haykin, S.S. (1994), Neural Networks: a Comprehensive Foundation, New York: MacMillan.
Jordan, M.I. (1990), 'Motor Learning and the Degrees of Freedom Problem', in M. Jeannerod, ed., Attention and performance xiii, Hillsdale, NJ: Erlbaum.
Jordan, M.I. (1990), Rumelhart, D.E. (1992), 'Forward Models: Supervised Learning with a Distal Teacher', Cognitive Science 16.
Lerdahl, E. and Jackendoff, R. (1983), A Generative Theory of Tonal Music, Cambridge, MA: MIT Press.
Longuet-Higgins, H.C. (1976), 'Perception of Melodies', Nature 263, pp. 646–653.
MacKay, D.J.C. (1992), 'Bayesian Interpolation', Neural Computation 4, pp. 415–447.
Moore, C. (1998), 'Dynamical Recognizers: Real-time Language Recognition by Analog Computers', Theoretical Computer Science 201, pp. 99–136.
Plate, T.A. (1994), Distributed Representations and Nested Compositional Structure (Ph.D. Thesis, Computer Science, University of Toronto).
Pollack, J.B. (1990), 'Recursive Distributed Representations', Artificial Intelligence 46, pp. 77–106.
Rumelhart, D.E., Hinton, G.E. and Williams, R.J. (1986), 'Learning Internal Representations by Error Propagation', in D.E. Rumelhart, J.L. McClelland and the PDP Research Group, eds., 'Parallel Distributed Processing', Volume I, Cambridge, MA: MIT Press, pp. 318–362.
Tiňo, P. (1999), 'Spatial Representation of Symbolic Sequences through Iterative Function Sysems', IEEE Transactions on Systems, Man, and Cybernetics Part A: Systems and Humans 29(4), pp. 386–392.
Todd, P.M. and Loy, D.G. (1991), Music and Connectionism, Cambridge, MA: MIT Press.
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Tabor, W. Niall Griffith and Peter M. Todd, eds., Musical Networks: Parallel Distributed Perception and Performance. Minds and Machines 11, 597–602 (2001). https://doi.org/10.1023/A:1011810022292
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DOI: https://doi.org/10.1023/A:1011810022292