Synaptic plasticity in a cerebellum-like structure depends on temporal order

Bell, Curtis C.; Han, Victor Z.; Sugawara, Yoshiko; Grant, Kirsty

doi:10.1038/387278a0

Cited by 620Neuroscience and Neuropharmacology ResearchNeural dynamics and brain functionMemory and Neural Mechanisms

Synaptic plasticity in a cerebellum-like structure depends on temporal order

Bell, Curtis C., Han, Victor Z., Sugawara, Yoshiko, Grant, Kirsty·1997·Nature

DOI 10.1038/387278a0

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Abstract

Cerebellum-like structures in fish appear to act as adaptive sensory processors, in which learned predictions about sensory input are generated and subtracted from actual sensory input, allowing unpredicted inputs to stand out. Pairing sensory input with centrally originating predictive signals, such as corollary discharge signals linked to motor commands, results in neural responses to the predictive signals alone that are 'negative images' of the previously paired sensory responses. Adding these 'negative images' to actual sensory inputs minimizes the neural response to predictable sensory features. At the cellular level, sensory input is relayed to the basal region of Purkinje-like cells, whereas predictive signals are relayed by parallel fibres to the apical dendrites of the same cells. The generation of negative images could be explained by plasticity at parallel fibre synapses. We show here that such plasticity exists in the electrosensory lobe of mormyrid electric fish and that it has the necessary properties for such a model: it is reversible, anti-hebbian (excitatory postsynaptic potentials (EPSPs) are depressed after pairing with a postsynaptic spike) and tightly dependent on the sequence of pre- and postsynaptic events, with depression occurring only if the postsynaptic spike follows EPSP onset within 60 ms.

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Computational consequences of temporally asymmetric learning rules: II. Sensory . . .
Roberts, P. D., & Bell, C. C. (2000)
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Computational Consequences of Temporally Asymmetric Learning Rules: II. Sensory Image Cancellation
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Self-citation

Authors: Bell, C. C., Han, V. Z., Sugawara, Y., & Grant, K.
Affiliations: Legacy Good Samaritan Medical Center (US)
Centre National de la Recherche Scientifique (FR)
Teikyo University (JP)
ORCID: Han, Victor Z.
Venue: Nature
Publisher: Springer Science and Business Media LLC
Published: 1997-05
Volume: 387
Issue: 6630
Pages: 278-281
ISSN: 0028-0836 (ISSN-L)
1476-4687
DOI: 10.1038/387278a0
OpenAlex: W2075075476
Cited by: 620
References: 21
Citations by year: 2026: 8 · 2025: 9 · 2024: 13 · 2023: 31 · 2022: 16 · 2021: 13 · 2020: 13 · 2019: 16 · 2018: 25 · 2017: 14 · 2016: 23 · 2015: 19 · 2014: 21 · 2013: 29 · 2012: 21
FWCI: 6.30
Type: journal article
Language: en
Open access: closed
Licence: www.springer.com/tdm (tdm)
Locations: Nature (publishedVersion)
PubMed (publishedVersion)
RePEc: Research Papers in Economics (submittedVersion)
Topics: Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neuropharmacology Research
Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
Life Sciences › Neuroscience › Cognitive Neuroscience › Memory and Neural Mechanisms
Keywords: synaptic plasticity, anti-Hebbian plasticity, negative image, corollary discharge, predictive signals, parallel fiber synapses, excitatory postsynaptic potentials
MeSH terms: Animals, Cerebellum, Electric Fish, Evoked Potentials, Models, Neurological, Neuronal Plasticity, Synapses, Time Factors, In Vitro Techniques

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Synaptic plasticity in a cerebellum-like structure depends on temporal order

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