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.
“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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- 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
- 223
- 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
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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