Literature DB >> 9378587

Associative learning.

R F Thompson1, S Bao, L Chen, B D Cipriano, J S Grethe, J J Kim, J K Thompson, J A Tracy, M S Weninger, D J Krupa.   

Abstract

This chapter reviews evidence demonstrating the essential role of the cerebellum and its associated circuitry in the learning and memory of classical conditioning of discrete behavioral responses (e.g., eyeblink, limb flexion, head turn). It now seems conclusive that the memory traces for this basic category of associative learning are formed and stored in the cerebellum. Lesion, neuronal recording, electrical microstimulation, and anatomical procedures have been used to identify the essential conditioned stimulus (CS) circuit, including the pontine mossy fiber projections to the cerebellum; the essential unconditioned stimulus (US) reinforcing or teaching circuit, including neurons in the inferior olive (dorsal accessory olive) projecting to the cerebellum as climbing fibers; and the essential conditioned response (CR) circuit, including the interpositus nucleus, its projection via the superior cerebellar peduncle to the magnocellular red nucleus, and rubral projections to premotor and motor nuclei. Each major component of the eyeblink CR circuit was reversibly inactivated both in trained animals and over the course of training. In all cases in trained animals, inactivation abolished the CR (and the UR as well when motor nuclei were inactivated). When animals were trained during inactivation (and not exhibiting CRs) and then tested without inactivation, animals with inactivation of the motor nuclei, red nucleus, and superior peduncle had fully learned, whereas animals with inactivation of a very localized region of the cerebellum (anterior interpositus and overlying cortex) had not learned at all. Consequently, the memory traces are formed and stored in the cerebellum. Several alternative possibilities are considered and ruled out. Both the cerebellar cortex and the interpositus nucleus are involved in the memory storage process, suggesting that a phenomenon-like long-term depression (LTD) is involved in the cerebellar cortex and long-term potentiation (LTP) is involved in the interpositus. The experimental findings reviewed in this chapter provide perhaps the first conclusive evidence for the localization of a basic form of memory storage to a particular brain region, namely the cerebellum, and indicate that the cerebellum is indeed a cognitive machine.

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Year:  1997        PMID: 9378587     DOI: 10.1016/s0074-7742(08)60351-7

Source DB:  PubMed          Journal:  Int Rev Neurobiol        ISSN: 0074-7742            Impact factor:   3.230


  35 in total

1.  Saccadic dysmetria and adaptation after lesions of the cerebellar cortex.

Authors:  S Barash; A Melikyan; A Sivakov; M Zhang; M Glickstein; P Thier
Journal:  J Neurosci       Date:  1999-12-15       Impact factor: 6.167

2.  Cerebellar cortical inhibition and classical eyeblink conditioning.

Authors:  Shaowen Bao; Lu Chen; Jeansok J Kim; Richard F Thompson
Journal:  Proc Natl Acad Sci U S A       Date:  2002-01-22       Impact factor: 11.205

Review 3.  Interrelated modification of excitatory and inhibitory connections in the olivocerebellar neural network.

Authors:  I G Sil'kis
Journal:  Neurosci Behav Physiol       Date:  2001 Nov-Dec

4.  The pentylenetetrazole allosteric component of the GABAA receptor plasticity.

Authors:  A S Bazyan; V I Mel'nik; L S Bikbulatova; M N Karpova
Journal:  Dokl Biol Sci       Date:  2002 Sep-Oct

5.  Blocking cholesterol synthesis impairs acquisition of the classically conditioned eyeblink response.

Authors:  W T O'Brien; G Xu; G S Tint; G Salen; R J Servatius
Journal:  Integr Physiol Behav Sci       Date:  2000 Apr-Jun

6.  Time-dependent reorganization of the brain components underlying memory retention in trace eyeblink conditioning.

Authors:  Kaori Takehara; Shigenori Kawahara; Yutaka Kirino
Journal:  J Neurosci       Date:  2003-10-29       Impact factor: 6.167

7.  Stimulus-response versus stimulus-stimulus-response learning in cerebellar patients.

Authors:  S Richter; K Matthies; T Ohde; A Dimitrova; E Gizewski; A Beck; V Aurich; D Timmann
Journal:  Exp Brain Res       Date:  2004-06-18       Impact factor: 1.972

Review 8.  Perceptual learning in the developing auditory cortex.

Authors:  Shaowen Bao
Journal:  Eur J Neurosci       Date:  2015-03       Impact factor: 3.386

Review 9.  Brain-computer interfaces as new brain output pathways.

Authors:  Jonathan R Wolpaw
Journal:  J Physiol       Date:  2007-01-25       Impact factor: 5.182

10.  The cerebellum in maintenance of a motor skill: a hierarchy of brain and spinal cord plasticity underlies H-reflex conditioning.

Authors:  Jonathan R Wolpaw; Xiang Yang Chen
Journal:  Learn Mem       Date:  2006 Mar-Apr       Impact factor: 2.460

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