Literature DB >> 25289586

Cerebellar learning mechanisms.

John H Freeman1.   

Abstract

The mechanisms underlying cerebellar learning are reviewed with an emphasis on old arguments and new perspectives on eyeblink conditioning. Eyeblink conditioning has been used for decades a model system for elucidating cerebellar learning mechanisms. The standard model of the mechanisms underlying eyeblink conditioning is that there two synaptic plasticity processes within the cerebellum that are necessary for acquisition of the conditioned response: (1) long-term depression (LTD) at parallel fiber-Purkinje cell synapses and (2) long-term potentiation (LTP) at mossy fiber-interpositus nucleus synapses. Additional Purkinje cell plasticity mechanisms may also contribute to eyeblink conditioning including LTP, excitability, and entrainment of deep nucleus activity. Recent analyses of the sensory input pathways necessary for eyeblink conditioning indicate that the cerebellum regulates its inputs to facilitate learning and maintain plasticity. Cerebellar learning during eyeblink conditioning is therefore a dynamic interactive process which maximizes responding to significant stimuli and suppresses responding to irrelevant or redundant stimuli. This article is part of a Special Issue entitled SI: Brain and Memory.
Copyright © 2014 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Associative learning; Cerebellum; Excitability; Eyeblink conditioning; Learning; Plasticity

Mesh:

Year:  2014        PMID: 25289586      PMCID: PMC4385749          DOI: 10.1016/j.brainres.2014.09.062

Source DB:  PubMed          Journal:  Brain Res        ISSN: 0006-8993            Impact factor:   3.252


  115 in total

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Journal:  Brain Res       Date:  2000-02-21       Impact factor: 3.252

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Journal:  Science       Date:  2000-06-09       Impact factor: 47.728

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Authors:  Eric Hosy; Claire Piochon; Eva Teuling; Lorenzo Rinaldo; Christian Hansel
Journal:  J Physiol       Date:  2011-04-26       Impact factor: 5.182

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Journal:  Brain Res       Date:  1994-07-25       Impact factor: 3.252

Review 10.  Cerebellar control of the inferior olive.

Authors:  Fredrik Bengtsson; Germund Hesslow
Journal:  Cerebellum       Date:  2006       Impact factor: 3.648

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  25 in total

1.  Cerebellar granule cells acquire a widespread predictive feedback signal during motor learning.

Authors:  Andrea Giovannucci; Aleksandra Badura; Ben Deverett; Farzaneh Najafi; Talmo D Pereira; Zhenyu Gao; Ilker Ozden; Alexander D Kloth; Eftychios Pnevmatikakis; Liam Paninski; Chris I De Zeeuw; Javier F Medina; Samuel S-H Wang
Journal:  Nat Neurosci       Date:  2017-03-20       Impact factor: 24.884

2.  Intracerebellar cannabinoid administration impairs delay but not trace eyeblink conditioning.

Authors:  Adam B Steinmetz; John H Freeman
Journal:  Behav Brain Res       Date:  2019-09-24       Impact factor: 3.332

3.  Complex spike clusters and false-positive rejection in a cerebellar supervised learning rule.

Authors:  Heather K Titley; Mikhail Kislin; Dana H Simmons; Samuel S-H Wang; Christian Hansel
Journal:  J Physiol       Date:  2019-07-26       Impact factor: 5.182

4.  Polarity- and Intensity-Independent Modulation of Timing During Delay Eyeblink Conditioning Using Cerebellar Transcranial Direct Current Stimulation.

Authors:  Jessica Mitroi; Leah P Burroughs; Alexandra B Moussa-Tooks; Amanda R Bolbecker; Nancy B Lundin; Brian F O'Donnell; William P Hetrick
Journal:  Cerebellum       Date:  2020-06       Impact factor: 3.847

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Authors:  Lauren B Burhans; Bernard G Schreurs
Journal:  Neurobiol Learn Mem       Date:  2018-07-24       Impact factor: 2.877

Review 6.  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

7.  Mechanisms for motor timing in the cerebellar cortex.

Authors:  Fredrik Johansson; Germund Hesslow; Javier F Medina
Journal:  Curr Opin Behav Sci       Date:  2016-04

8.  Intracerebellar infusion of the protein kinase M zeta (PKMζ) inhibitor zeta-inhibitory peptide (ZIP) disrupts eyeblink classical conditioning.

Authors:  Kutibh Chihabi; Anthony D Morielli; John T Green
Journal:  Behav Neurosci       Date:  2016-03-07       Impact factor: 1.912

9.  Clocks within Clocks: Timing by Coincidence Detection.

Authors:  Catalin V Buhusi; Sorinel A Oprisan; Mona Buhusi
Journal:  Curr Opin Behav Sci       Date:  2016-04

10.  Cross-modal savings in the contralateral eyelid conditioned response.

Authors:  Matthew M Campolattaro; Eric W Buss; John H Freeman
Journal:  Behav Neurosci       Date:  2015-10-26       Impact factor: 1.912

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