Neurodynamics

See also “Gee Wiz Fact about the Brain”

Introduction

The goal of this research is to investigate models of the dendritic net that: (1) are mathematically tractable, (2) are reasonably true to the biology, and (3) illuminate information processing in the neuropil. The research has focused on the hypothesis that the dendritic net can be viewed as a linear field computer.

Publications (reverse chronological order)

  1. “Field Computation in Motor Control” [postscript form], by Bruce MacLennan, invited for Self-Organization, Computational Maps and Motor Control, ed. by Pietro G. Morasso and Vittorio Sanguineti, Elsevier, 1997. A version of this paper is available as hypertext (although it contains a few glitches). 

  2. “Continuous Computation and the Emergence of the Discrete” [ pdf, uncompressed postscript, compressed postscript, gzipped postscript], by Bruce MacLennan, invited contribution, Origins: Brain & Self-Organization, edited by Karl Pribram, Hillsdale, NJ: Lawrence Erlbaum, 1994, pp. 121-151. Also University of Tennessee, Knoxville, Department of Computer Science Technical Report CS-94-227, March 24, 1994, 41 pp.

  3. “Information Processing in the Dendritic Net,” [ps, pdf] by Bruce MacLennan, invited contribution, Rethinking Neural Networks: Quantum Fields and Biological Data, edited by Karl Pribram, Hillsdale, NJ: Lawrence Erlbaum, 1993, pp. 161-197. Also University of Tennessee, Knoxville, Department of Computer Science Technical Report CS-92-180, October 26, 1992, 36 pages.

  4. “Field Computation in the Brain,” [postscript] by Bruce MacLennan, invited contribution, Rethinking Neural Networks: Quantum Fields and Biological Data, edited by Karl Pribram, Hillsdale, NJ: Lawrence Erlbaum, 1993, pp. 199-232. Also University of Tennessee, Knoxville, Department of Computer Science Technical Report CS-92-174, October 1, 1992, 35 pages.

  5. “Gabor Representations of Spatiotemporal Visual Images” [ compressed postscript, postscript], by Bruce MacLennan, University of Tennessee, Knoxville, Computer Science Department technical report CS-91-144, September 1991, 42 pages. A review of the Gabor uncertainty principle, a survey of Gabor representation in vision and a comparison with wavelet models.
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Last updated: 2007-11-24.