Indeterminate Organization of the Visual System-Reference-Cited by-同舟云学术

Indeterminate Organization of the Visual System

Published:1996-02-09 Issue:5250 Volume:271 Page:776-777
ISSN:0036-8075
Container-title:Science
language:en
Short-container-title:Science

Author:

Hilgetag Claus-C.¹,O'Neill Mark A.¹,Young Malcolm P.¹

Affiliation:

1. Neural Systems Group, Department of Psychology, Ridley Building, University of Newcastle upon Tyne, Newcastle upon Tyne, NE1 7RU, UK.

Publisher

American Association for the Advancement of Science (AAAS)

Subject

Multidisciplinary

Reference11 articles.

1. Rockland K. S. Pandya D. N. Brain Res. 179 3 (1979);

2. Maunsell J. H. R. Van Essen D. C. Annu. Rev. Neurosci. 10 363 (1983);

3. Coogan T. A. Burkhalter A. J. Neurosci. 13 3749 (1993).

4. Distributed Hierarchical Processing in the Primate Cerebral Cortex

5. Nodes in a conventional neural network have fixed connections with variable weights. Computation consists of numerical operation on an input vector to generate an output vector. The data in our case are not numbers but relational constraints. We generalized the properties of the simulated network so that each node could be associated with a variable position in the network and could have a relation with other nodes or none at all as defined by the input constraints. This organization allowed the structure of the simulated network itself to stand for the network in the real brain rather than the representational states being patterns of numbers distributed over the nodes. These features might extend the processor's use to other relational problems such as macromolecular conformation.

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