The DOI matches its Crossref record; 26 of the 26 references it cites were found in a registry or an index.
Contour Enhancement, Short Term Memory, and Constancies in Reverberating Neural Networks
Abstract
A model of the nonlinear dynamics of reverberating on‐center off‐surround networks of nerve cells, or of cell populations, is analysed. The on‐center off‐surround anatomy allows patterns to be processed across populations without saturating the populations' response to large inputs. The signals between populations are made sigmoid functions of population activity in order to quench network noise, and yet store sufficiently intense patterns in short term memory (STM). There exists a quenching threshold: a population's activity will be quenched along with network' noise if it falls below the threshold; the pattern of supra threshold population activities is contour enhanced and stored in STM. Varying arousal level can therefore influence which pattern features will be stored. The total suprathreshold activity of the network is carefully regulated. Applications to seizure and hallucinatory phenomena, to position codes for motor control, to pattern discrimination, to influences of novel events on storage of redundant relevant cues, and to the construction of a sensory‐drive heterarchy are mentioned, along with possible anatomical substrates in neocortex, hypothalamus, and hippocampus.
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Cites
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The Cerebellum as a Neuronal Machine
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Punishment and aversive behavior
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Coding Processes in Human Memory
Peterson, L. R., Melton, A. W., & Martin, E. (1973) · The American Journal of Psychology · doi:10.2307/1421959 · Cited by 1,619
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Physiological and Biochemical Aspects of Nervous Integration
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Cited by
A massively parallel architecture for a self-organizing neural pattern recognition machine
Carpenter, G. A., & Grossberg, S. (1987) · Computer Vision, Graphics, and Image Processing · doi:10.1016/s0734-189x(87)80014-2 · Cited by 2,525
Self-citationGrossberg, S. (1976) · Biological Cybernetics · doi:10.1007/bf00344744 · Cited by 1,909
Self-citationThe Normalization Model of Attention
Reynolds, J. H., & Heeger, D. J. (2009) · Neuron · doi:10.1016/j.neuron.2009.01.002 · Cited by 1,457
Competitive Mechanisms Subserve Attention in Macaque Areas V2 and V4
Reynolds, J. H., Chelazzi, L., & Desimone, R. (1999) · The Journal of Neuroscience · doi:10.1523/jneurosci.19-05-01736.1999 · Cited by 1,236
Attentional modulation of visual processing
Reynolds, J. H., & Chelazzi, L. (2004) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.26.041002.131039 · Cited by 1,158
Metadata
- Authors
- Grossberg, S.
- Venue
- Studies in Applied Mathematics
- Publisher
- Wiley
- Published
- 1973-09
- Volume
- 52
- Issue
- 3
- Pages
- 213-257
- ISSN
- 0022-2526 (ISSN-L)
- 1467-9590
- OpenAlex
- W4241653134
- Cited by
- 632
- References
- 26
- FWCI
- 3.69
- Type
- journal article
- Language
- en
- Open access
- closed
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
