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
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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“A leading candidate mechanism for the generation of persistent activity is strong recurrent excitation in a local cortical circuit that gives rise to stimulus-selective attractor states—self-sustained population activity patterns of a neural network (Amit, 1995; Goldman-Rakic, 1995; Wang, 2001).”
From Decision Making in Recurrent Neuronal Circuits (2008) · cites this paper as Amit, 1995
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Cites
Items 201–222 of 222
A multi-electrode array for combined microiontophoresis and multiple single-unit recordings
Haidarliu, S., Shulz, D. E., & Ahissar, E. (1995) · Journal of Neuroscience Methods · doi:10.1016/0165-0270(94)00114-v · Cited by 43
Electronic implementation of an analogue attractor neural network with stochastic learning
Badoni, D., Bertazzoni, S., Buglioni, S., Salina, G., Amit, D. J., & Fusi, S. (1995) · Network Computation in Neural Systems · doi:10.1088/0954-898x_6_2_002 · Cited by 41
Self-citationde Santillana, G., & von Dechend, H. (1969) · Cited by 39
Analog simulation of prepyriform cortex in the cat
Freeman, W. (1968) · Mathematical Biosciences · doi:10.1016/0025-5564(68)90017-5 · Cited by 38
Improvement in habit reversal as related to dimensional set.
Schade, A. F., & Bitterman, M. E. (1966) · Journal of Comparative and Physiological Psychology · doi:10.1037/h0023493 · Cited by 38
Chaotic dynamics versus representationalism
Freeman, W. J., & Skarda, C. A. (1990) · Behavioral and Brain Sciences · doi:10.1017/s0140525x00078158 · Cited by 36
Valium, histamine, and neural networks
Freeman, W. (1993) · Biological Psychiatry · doi:10.1016/0006-3223(93)90249-d · Cited by 36
Correlated Attractors from Uncorrelated Stimuli
Cugliandolo, L. F. (1994) · Neural Computation · doi:10.1162/neco.1994.6.2.220 · Cited by 36
Neuromotor programming: Bilateral and unilateral effects on simple reaction time
Anson, J. G., & Bird, Y. (1993) · Human Movement Science · doi:10.1016/0167-9457(93)90035-n · Cited by 35
Consolidation and learning: a connectionist model of human credit assignment
Chown, E. (1994) · Deep Blue (University of Michigan) · Cited by 33
Zeeman, E. C. (1976) · Lecture notes in mathematics · doi:10.1007/bfb0077855 · Cited by 33
Categorization in neural networks and prosopagnosia
VIRASORO, M. A. (1989) · Physics Reports · doi:10.1016/0370-1573(89)90050-1 · Cited by 32
Computer Models of the Brain—How Far Can They Take Us?
Lansner, A., & Liljenström, H. (1994) · Journal of Theoretical Biology · doi:10.1006/jtbi.1994.1212 · Cited by 30
In defence of single-electrode recordings
Amit, D. J. (1992) · Network Computation in Neural Systems · doi:10.1088/0954-898x_3_4_003 · Cited by 30
Self-citationSmooth recollection of a pattern sequence by nonmonotone analog neural networks
Morita, M. (2002) · doi:10.1109/icnn.1994.374325 · Cited by 27
Chekaluk, E. (1994) · Behavioral and Brain Sciences · doi:10.1017/s0140525x00034373 · Cited by 27
Persistent delay activity in cortex: a Galilean phase in neurophysiology?
Amit, D. J. (1994) · Network Computation in Neural Systems · doi:10.1088/0954-898x_5_4_001 · Cited by 27
Self-citationA neural network model of the dynamics of a short‐term memory system in the temporal cortex
Morita, M. (1992) · Systems and Computers in Japan · doi:10.1002/scj.4690230402 · Cited by 26
Neural modelling of psychiatric disorders
Ruppin, E. (1995) · Network Computation in Neural Systems · doi:10.1088/0954-898x_6_4_007 · Cited by 26
Why Connectionism is Such a Good Thing. A Criticism of Fodor and Pylyshyn’s Criticism of Smolensky
Petitot, J. (1991) · Philosophica · doi:10.21825/philosophica.82420 · Cited by 25
Book Review: Realism in mathematics
Hirsch, M. W. (1995) · Bulletin of the American Mathematical Society · doi:10.1090/s0273-0979-1995-00552-5 · Cited by 23
Persistent delay activity in cortex: a Galilean phase in neurophysiology?*
Amit, D. (1994) · Network Computation in Neural Systems · doi:10.1088/0954-898x/5/4/001 · Cited by 3
Self-citation
Research works printed but not linked: 37
- 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]
- Thom, 1980, Modèle mathématiques de la Morphogenèse
- McGaugh, 1972, Memory consolidation
- Singer, 1994, Large scale ncuronal theories of the brain
- Magleby, 1987, Synoptic function
- Lansner, 1994, The neurobiology of computation: Proceedings of the annual computational neuroscience meeting
- Miller, 1984, Psychobiology of cognition
- Freeman, 1986, Proceedings of the First Trieste Meeting on Brain Theory
- Macknik, 1991, Saccadic suppression of displacement at isoluminanee, Investigative Ophthalmology and Visual Science, 32, 899
- Mangler, 1975, Information processing and cognitive psychology
- 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]
- Hebb, 1949, The organisation of behaviour
- Anderson, 1994, Monographs in behavior and ecology
- Kaplan, 1982, Cognition and Environment
- Amsel, 1984, Clark Hull's theoretical papers, with commentary
- Brunel N. (in press) Stochastic learning of temporal correlations between stimuli in attractor neural networks. Neural Computation. [arDJA]
- James, 1902, Pragmatism: A new name for an old way of thinking
- Ito, 1992, Enclyclopedia of learning and memory
- Fodor, 1988, Connections and symbols
- Squire, 1987, Memory ami brain
- Lem, 1985, Star diaries
- Freeman, 1967, Analysis of function of cerebral cortex by use of control systems theory, Logistics Review, 3, 5
- Tanzi, 1893, I fatti e le induzioni nell'odiema istologia del sistem nervosa, Rivista Speriinentale di Frcniatria, 19, 419
- Fransén, 1994, The neurobiology of computation: Proceedings of the annual computational neuroscience meeting
- Campbell, 1978, Vision Research, 18, 1297
- Kendler, 1975, llandlwok of learning and cognitive processes
- Klimesch W. (in press) Memory processes described as brain oscillations in the theta andalpha band. Psycoloquy 95.6.55.memory-brain.l.klimesch. [WK]
- Rauschecker, 1994, Processing of visual andauditory space and its modification by experience, Advances in Neural Information Processing Systems, 6
- Hebb, 1987, Textbook of psychology
- Pulvermüller, 1994, Brain rhythms, cell assemblies, and cognition: Evidence from the processing of words and pseudowords, Psycoloquy, 5
- Takens, 1981, Lecture notes in tnathematics 898
- 10.1038/335817a0 · DOI
- Gray, 1987, Stimulus-dependent neuronal oscillations in the cat visual cortex area 17, Neuroscience, 22, 434
- Miller, 1994, Dual mechanism for short-term memory in inferior temporal cortex
- Van der Velde F. (in press) Symbol manipulation with neural networks: Production of a contextfree language using a modifiable working memory. Connection Science. [FVDV]
- Hinton, 1986, Parallel Distrilmted Processing, 1
- Lashley, 1951, In search of the engram, Symposia of the Society of Experimental Biology, 4, 454
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Synaptic theory of working memory
Mongillo, G., Barak, O., & Tsodyks, M. (2008) · Science · doi:10.1126/science.1150769 · Cited by 1,253
The functions of the orbitofrontal cortex
Rolls, E. T. (2004) · Brain and Cognition · doi:10.1016/s0278-2626(03)00277-x · Cited by 1,327
Digital selection and analogue amplification coexist in a cortex-inspired silicon circuit
Hahnloser, R. H. R., Sarpeshkar, R., Mahowald, M. A., Douglas, R. J., & Seung, H. S. (2000) · Nature · doi:10.1038/35016072 · Cited by 1,293
Pulvermüller, F. (1999) · Behavioral and Brain Sciences · doi:10.1017/s0140525x9900182x · Cited by 1,284
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
- 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
- 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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