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- 1.
- Andersen, R. A. (1995). Coordinate transformation and
motor planning in posterior parietal cortex. In M. S. Gazzaniga
(ed.), The Cognitive Neurosciences, MIT Press, pp.
519-532.
- 2.
- Bizzi, E. & Mussa-Ivaldi, F. A. (1995). Toward a
neurobiology of coordinate transformation. In M. S. Gazzaniga
(ed.), The Cognitive Neurosciences, MIT Press, pp.
495-506.
- 3.
- Bohm, D. & Hiley, B. J. (1993). The undivided
universe: An ontological interpretation of quantum theory.
Routledge.
- 4.
- Changeux, J.-P. (1985). Neuronal Man: The Biology
of Mind, tr. by L. Garey. Oxford.
- 5.
- Droulez, J. & Berthoz, A. (1991a). The concept of
dynamic memory in sensorimotor control. In D. R. Humphrey
& H.-J. Freund (eds.), Motor Control: Concepts and
Issues, Wiley, pp. 137-161.
- 6.
- Droulez, J. & Berthoz, A. (1991b). A neural network
model of sensoritopic maps with predictive short-term
memory properties. Proc. National Acad. Science USA
88: 9653-9657.
- 7.
- Georgopoulos, A. P. (1995). Motor cortex and cognitive
processing. In M. S. Gazzaniga (ed.), The Cognitive
Neurosciences, MIT Press, pp. 507-517.
- 8.
- Hopfield, J. J. (1995). Pattern recognition computation
using action potential timing for stimulus representation.
Nature 376: 33-36.
- 9.
- Knudsen, E. J., du Lac, S. & Esterly, S. D. (1987).
Computational maps in the brain. Ann. Rev. of
Neuroscience 10: 41-65.
- 10.
- Lowe, D. (1991). What have neural networks to offer
statistical pattern processing? Proc. SPIE Conf. on Adaptive
Signal Processing, San Diego, pp. 460-471.
- 11.
- MacLennan, B. J. (1987). Technology-independent design
of neurocomputers: The universal field computer. In M.
Caudill & C. Butler (eds.), Proc. IEEE First Intl. Conf. on
Neural Networks, IEEE Press, Vol. 3, pp. 39-49.
- 12.
- MacLennan, B. J. (1990). Field computation: A theoretical
framework for massively parallel analog computation, parts I-
IV. Tech. Rep. CS-90-100. Comp. Sci. Dept., Univ. of
Tennessee, Knoxville. Accessible via URL
http://www.cs.utk.edu/~mclennan.
- 13.
- MacLennan, B. J. (1991). Gabor representations of
spatiotemporal visual images. Tech. Rep. CS-91-144.
Comp. Sci. Dept., Univ. of Tennessee, Knoxville. Accessible
via URL http://www.cs.utk.edu/
~mclennan.
- 14.
- MacLennan, B. J. (1993a). Information processing in the
dendritic net. In K. Pribram (ed.), Rethinking Neural
Networks: Quantum Fields and Biological Data, Lawrence
Erlbaum, pp. 161-197.
- 15.
- MacLennan, B. J. (1993b). Field computation in the brain.
In K. Pribram (ed.), Rethinking Neural Networks:
Quantum Fields and Biological Data, Lawrence Erlbaum, pp.
199-232.
- 16.
- MacLennan, B. J. (1997). Field computation in motor
control. In P. Morasso & V. Sanguineti (eds.),
Self-Organization, Computational Maps, and Motor Control,
Elsevier, pp. 37-73.
- 17.
- Miller, M.I., Roysam, B., Smith, K. R. & O'Sullivan, J. A.
(1991). Representing and computing regular languages on
massively parallel networks. IEEE Trans. Neural
Networks 2: 56-72.
- 18.
- Mills, J. W. (1995). Kirkhoff machines. Technical report,
Comp. Sci. Dept., Indiana Univ., Bloomington.
- 19.
- Moody, J. E. & Darken, C. J. (1989). Fast learning in
networks of locally-tuned processing units. Neural
Computation 1: 281-294.
- 20.
- Pribram, K. H. (1991). Brain and perception:
Holonomy and structure in figural processing. Lawrence
Erlbaum.
- 21.
- Steinbeck, O., Tóth, A. & Showalter, K. (1995).
Navigating complex labyrinths: Optimal paths from chemical
waves. Science 267: 868-871.
- 22.
- Ting, P.-Y. & Iltis, R. A. (1994). Diffusion network
architectures for implementation of Gibbs samplers with
applications to assignment problems. IEEE Trans. Neural
Networks 5: 622-638.
- 23.
- Wettscherick, D. & Dietterich, T. (1992). Improving the
performance of radial basis function networks by learning
center locations. In J. E. Moody, S. J. Hanson & R. P.
Lippmann (eds.), Advances in Neural Information
Processing Systems 4, Morgan Kaufmann, pp. 1133-1140.
- 24.
- Wolpert, D. H. & MacLennan, B. J. (submitted). A
computationally universal field computer which is purely
linear. See also Santa Fe Institute TR 93-09-056 and Univ.
of Tennessee, Knoxville, Comp. Sci. Dept. TR CS-93-206.
Accessible via URL http://www.cs.utk.edu/
~mclennan.
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Up: Field Computation in Natural
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Bruce MacLennan
10/31/1998