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Cited by 388Neural dynamics and brain functionMemory and Neural MechanismsNeuroscience and Neuropharmacology Research

The DOI matches its Crossref record; 222 of the 222 references it cites were found in a registry or an index.

The Hebbian paradigm reintegrated: Local reverberations as internal representations

Amit, Daniel J.·1995·Behavioral and Brain Sciences
DOI 10.1017/s0140525x00040164
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Abstract

The neurophysiological evidence from the Miyashita group's experiments on monkeys as well as cognitive experience common to us all suggests that local neuronal spike rate distributions might persist in the absence of their eliciting stimulus. In Hebb's cell-assembly theory, learning dynamics stabilize such self-maintaining reverberations. Quasi-quantitive modeling of the experimental data on internal representations in association-cortex modules identifies the reverberations (delay spike activity) as the internal code (representation). This leads to cognitive and neurophysiological predictions, many following directly from the language used to describe the activity in the experimental delay period, others from the details of how the model captures the properties of the internal representations.

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Research works printed but not linked: 37

  1. Damasio A. R. & Damasio H. (1991) Cortical systems underlying knowledge retrieval: Evidence from human lesion studies (background manuscript for the Dahlem Conference on Exploring Brain Function: Models in Neuroscience, Berlin). [aDJA]
  2. Thom, 1980, Modèle mathématiques de la Morphogenèse
  3. McGaugh, 1972, Memory consolidation
  4. Singer, 1994, Large scale ncuronal theories of the brain
  5. Magleby, 1987, Synoptic function
  6. Lansner, 1994, The neurobiology of computation: Proceedings of the annual computational neuroscience meeting
  7. Miller, 1984, Psychobiology of cognition
  8. Freeman, 1986, Proceedings of the First Trieste Meeting on Brain Theory
  9. Macknik, 1991, Saccadic suppression of displacement at isoluminanee, Investigative Ophthalmology and Visual Science, 32, 899
  10. Mangler, 1975, Information processing and cognitive psychology
  11. Lauro Grotto R. , Reich S. & Virasoro A. M. (1994) The computational role of conscious processing in a model of semantic memory, ed. Ito M. . Proceedings of the HAS Symposium on Cognition, Computation and Consciousness, Kyoto, 08 31, 1994. [rDJA]
  12. Hebb, 1949, The organisation of behaviour
  13. Anderson, 1994, Monographs in behavior and ecology
  14. Kaplan, 1982, Cognition and Environment
  15. Amsel, 1984, Clark Hull's theoretical papers, with commentary
  16. Brunel N. (in press) Stochastic learning of temporal correlations between stimuli in attractor neural networks. Neural Computation. [arDJA]
  17. James, 1902, Pragmatism: A new name for an old way of thinking
  18. Ito, 1992, Enclyclopedia of learning and memory
  19. Fodor, 1988, Connections and symbols
  20. Squire, 1987, Memory ami brain
  21. Lem, 1985, Star diaries
  22. Freeman, 1967, Analysis of function of cerebral cortex by use of control systems theory, Logistics Review, 3, 5
  23. Tanzi, 1893, I fatti e le induzioni nell'odiema istologia del sistem nervosa, Rivista Speriinentale di Frcniatria, 19, 419
  24. Fransén, 1994, The neurobiology of computation: Proceedings of the annual computational neuroscience meeting
  25. Campbell, 1978, Vision Research, 18, 1297
  26. Kendler, 1975, llandlwok of learning and cognitive processes
  27. Klimesch W. (in press) Memory processes described as brain oscillations in the theta andalpha band. Psycoloquy 95.6.55.memory-brain.l.klimesch. [WK]
  28. Rauschecker, 1994, Processing of visual andauditory space and its modification by experience, Advances in Neural Information Processing Systems, 6
  29. Hebb, 1987, Textbook of psychology
  30. Pulvermüller, 1994, Brain rhythms, cell assemblies, and cognition: Evidence from the processing of words and pseudowords, Psycoloquy, 5
  31. Takens, 1981, Lecture notes in tnathematics 898
  32. 10.1038/335817a0 · DOI
  33. Gray, 1987, Stimulus-dependent neuronal oscillations in the cat visual cortex area 17, Neuroscience, 22, 434
  34. Miller, 1994, Dual mechanism for short-term memory in inferior temporal cortex
  35. Van der Velde F. (in press) Symbol manipulation with neural networks: Production of a contextfree language using a modifiable working memory. Connection Science. [FVDV]
  36. Hinton, 1986, Parallel Distrilmted Processing, 1
  37. Lashley, 1951, In search of the engram, Symposia of the Society of Experimental Biology, 4, 454

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Metadata

Authors
Amit, D. J.
Affiliations
Hebrew University of Jerusalem (IL)
Corresponding author
Amit, Daniel J.
Venue
Behavioral and Brain Sciences
Publisher
Cambridge University Press (CUP)
Published
1995-12
Volume
18
Issue
4
Pages
617-626
ISSN
  • 0140-525X (ISSN-L)
  • 1469-1825
DOI
10.1017/s0140525x00040164
OpenAlex
W2074391612
Cited by
388
References
222
Citations by year
2026: 5 · 2025: 6 · 2024: 7 · 2023: 3 · 2022: 3 · 2021: 4 · 2020: 4 · 2019: 6 · 2018: 6 · 2017: 9 · 2016: 6 · 2015: 7 · 2014: 10 · 2013: 11 · 2012: 16
FWCI
11.27
Type
journal article
Language
en
Open access
closed
Licence
www.cambridge.org/core/terms (unspecified, 5179 d)
Locations
Behavioral and Brain Sciences (publishedVersion)
Topics
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Memory and Neural Mechanisms
  • Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neuropharmacology Research
Keywords
Hebbian learning, cell assemblies, internal representations, delay-period activity, association cortex, cognitive prediction

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