Literature DB >> 22895474

Distributed synergistic plasticity and cerebellar learning.

Zhenyu Gao1, Boeke J van Beugen, Chris I De Zeeuw.   

Abstract

Studies on synaptic plasticity in the context of learning have been dominated by the view that a single, particular type of plasticity forms the underlying mechanism for a particular type of learning. However, emerging evidence shows that many forms of synaptic and intrinsic plasticity at different sites are induced conjunctively during procedural memory formation in the cerebellum. Here, we review the main forms of long-term plasticity in the cerebellar cortex that underlie motor learning. We propose that the different forms of plasticity in the granular layer and the molecular layer operate synergistically in a temporally and spatially distributed manner, so as to ultimately create optimal output for behaviour.

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Year:  2012        PMID: 22895474     DOI: 10.1038/nrn3312

Source DB:  PubMed          Journal:  Nat Rev Neurosci        ISSN: 1471-003X            Impact factor:   34.870


  173 in total

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Authors:  S G Brickley; S G Cull-Candy; M Farrant
Journal:  J Neurosci       Date:  1999-04-15       Impact factor: 6.167

2.  Ultrastructural contributions to desensitization at cerebellar mossy fiber to granule cell synapses.

Authors:  Matthew A Xu-Friedman; Wade G Regehr
Journal:  J Neurosci       Date:  2003-03-15       Impact factor: 6.167

3.  Synaptic excitation produces a long-lasting rebound potentiation of inhibitory synaptic signals in cerebellar Purkinje cells.

Authors:  M Kano; U Rexhausen; J Dreessen; A Konnerth
Journal:  Nature       Date:  1992-04-16       Impact factor: 49.962

4.  Integration of quanta in cerebellar granule cells during sensory processing.

Authors:  Paul Chadderton; Troy W Margrie; Michael Häusser
Journal:  Nature       Date:  2004-04-22       Impact factor: 49.962

Review 5.  LTP and LTD: an embarrassment of riches.

Authors:  Robert C Malenka; Mark F Bear
Journal:  Neuron       Date:  2004-09-30       Impact factor: 17.173

6.  Dynamic metabotropic control of intrinsic firing in cerebellar unipolar brush cells.

Authors:  Marco J Russo; Hau-Jie Yau; Maria-Grazia Nunzi; Enrico Mugnaini; Marco Martina
Journal:  J Neurophysiol       Date:  2008-10-22       Impact factor: 2.714

Review 7.  Timing and plasticity in the cerebellum: focus on the granular layer.

Authors:  Egidio D'Angelo; Chris I De Zeeuw
Journal:  Trends Neurosci       Date:  2008-10-30       Impact factor: 13.837

8.  Allocentric spatial learning by hippocampectomised rats: a further test of the "spatial mapping" and "working memory" theories of hippocampal function.

Authors:  R G Morris; J J Hagan; J N Rawlins
Journal:  Q J Exp Psychol B       Date:  1986-11

9.  Axonal GABAA receptors increase cerebellar granule cell excitability and synaptic activity.

Authors:  Jason R Pugh; Craig E Jahr
Journal:  J Neurosci       Date:  2011-01-12       Impact factor: 6.167

10.  NMDA receptor-mediated currents in rat cerebellar granule and unipolar brush cells.

Authors:  Daniela Billups; Ying-Bing Liu; Susanne Birnstiel; N Traverse Slater
Journal:  J Neurophysiol       Date:  2002-04       Impact factor: 2.714

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  223 in total

Review 1.  Distributed Circuit Plasticity: New Clues for the Cerebellar Mechanisms of Learning.

Authors:  Egidio D'Angelo; Lisa Mapelli; Claudia Casellato; Jesus A Garrido; Niceto Luque; Jessica Monaco; Francesca Prestori; Alessandra Pedrocchi; Eduardo Ros
Journal:  Cerebellum       Date:  2016-04       Impact factor: 3.847

Review 2.  The striatum: where skills and habits meet.

Authors:  Ann M Graybiel; Scott T Grafton
Journal:  Cold Spring Harb Perspect Biol       Date:  2015-08-03       Impact factor: 10.005

Review 3.  Motor Learning and the Cerebellum.

Authors:  Chris I De Zeeuw; Michiel M Ten Brinke
Journal:  Cold Spring Harb Perspect Biol       Date:  2015-09-01       Impact factor: 10.005

4.  Numb deficiency in cerebellar Purkinje cells impairs synaptic expression of metabotropic glutamate receptor and motor coordination.

Authors:  Liang Zhou; Dong Yang; De-Juan Wang; Ya-Jun Xie; Jia-Huan Zhou; Lin Zhou; Hao Huang; Shuo Han; Chong-Yu Shao; Hua-Shun Li; J Julius Zhu; Meng-Sheng Qiu; Chris I De Zeeuw; Ying Shen
Journal:  Proc Natl Acad Sci U S A       Date:  2015-11-30       Impact factor: 11.205

5.  Computational Architecture of the Granular Layer of Cerebellum-Like Structures.

Authors:  Peter Bratby; James Sneyd; John Montgomery
Journal:  Cerebellum       Date:  2017-02       Impact factor: 3.847

6.  A Slow Short-Term Depression at Purkinje to Deep Cerebellar Nuclear Neuron Synapses Supports Gain-Control and Linear Encoding over Second-Long Time Windows.

Authors:  Christine M Pedroarena
Journal:  J Neurosci       Date:  2020-06-17       Impact factor: 6.167

7.  Distinct kinetics of synaptic structural plasticity, memory formation, and memory decay in massed and spaced learning.

Authors:  Wajeeha Aziz; Wen Wang; Sebnem Kesaf; Alsayed Abdelhamid Mohamed; Yugo Fukazawa; Ryuichi Shigemoto
Journal:  Proc Natl Acad Sci U S A       Date:  2013-12-23       Impact factor: 11.205

8.  Intrinsic Plasticity of Cerebellar Purkinje Cells Contributes to Motor Memory Consolidation.

Authors:  Dong Cheol Jang; Hyun Geun Shim; Sang Jeong Kim
Journal:  J Neurosci       Date:  2020-04-15       Impact factor: 6.167

Review 9.  LTD-like molecular pathways in developmental synaptic pruning.

Authors:  Claire Piochon; Masanobu Kano; Christian Hansel
Journal:  Nat Neurosci       Date:  2016-09-27       Impact factor: 24.884

Review 10.  A hypothetical universal model of cerebellar function: reconsideration of the current dogma.

Authors:  Ari Magal
Journal:  Cerebellum       Date:  2013-10       Impact factor: 3.847

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