Neural networks and physical systems with emergent collective computational abilities.
- 1 April 1982
- journal article
- Published by Proceedings of the National Academy of Sciences in Proceedings of the National Academy of Sciences of the United States of America
- Vol. 79 (8), 2554-2558
- https://doi.org/10.1073/pnas.79.8.2554
Abstract
Computational properties of use of biological organisms or to the construction of computers can emerge as collective properties of systems having a large number of simple equivalent components (or neurons). The physical meaning of content-addressable memory is described by an appropriate phase space flow of the state of a system. A model of such a system is given, based on aspects of neurobiology but readily adapted to integrated circuits. The collective properties of this model produce a content-addressable memory which correctly yields an entire memory from any subpart of sufficient size. The algorithm for the time evolution of the state of the system is based on asynchronous parallel processing. Additional emergent collective properties include some capacity for generalization, familiarity recognition, categorization, error correction, and time sequence retention. The collective properties are only weakly sensitive to details of the modeling or the failure of individual devices.Keywords
This publication has 13 references indexed in Scilit:
- On associative memoryBiological Cybernetics, 1980
- Dendritic bundles: Survey of anatomical experiments and physiological theoriesBrain Research Reviews, 1979
- Columnar distribution of cortico-cortical fibers in the frontal association, limbic, and motor cortex of the developing rhesus monkeyBrain Research, 1977
- Neural theory of association and concept-formationBiological Cybernetics, 1977
- Fähigkeiten eines assoziativen Speichersystems im Vergleich zu GehirnfunktionenBiological Cybernetics, 1976
- The neuronal basis of behavior in Tritonia. III. Neuronal mechanism of a fixed action patternJournal of Neurobiology, 1973
- Switchboard versus Statistical Theories of Learning and MemoryScience, 1972
- A theory of cerebellar cortexJournal Of Physiology-London, 1969
- The non-local storage of temporal informationProceedings of the Royal Society of London. B. Biological Sciences, 1968
- Holographic Model of Temporal RecallNature, 1968