Literature DB >> 21416378

Learning stimulus intervals--adaptive timing of conditioned purkinje cell responses.

Dan-Anders Jirenhed1, Germund Hesslow.   

Abstract

Classical conditioning of motor responses, such as the eyeblink response, is an experimental model of associative learning and of adaptive timing of movements. A conditioned blink will have its maximum amplitude near the expected onset of the unconditioned blink-eliciting stimulus and it adapts to changes in the interval between the conditioned and unconditioned stimuli. Previous studies have shown that an eyeblink conditioning protocol can make cerebellar Purkinje cells learn to pause in response to the conditioned stimulus. According to the cerebellar cortical conditioning model, this conditioned Purkinje cell response drives the overt blink. If so, the model predicts that the temporal properties of the Purkinje cell response reflect the overt behaviour. To test this prediction, in vivo recordings of Purkinje cell activity were performed in decerebrate ferrets during conditioning, using direct stimulation of cerebellar mossy and climbing fibre afferents as conditioned and unconditioned stimuli. The results show that Purkinje cells not only develop a change in responsiveness to the conditioned stimulus. They also learn a particular temporal response profile where the timing, not only of onset and maximum but also of offset, is determined by the temporal interval between the conditioned and unconditioned stimuli.

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Year:  2011        PMID: 21416378     DOI: 10.1007/s12311-011-0264-3

Source DB:  PubMed          Journal:  Cerebellum        ISSN: 1473-4222            Impact factor:   3.847


  29 in total

Review 1.  Computer simulation of cerebellar information processing.

Authors:  J F Medina; M D Mauk
Journal:  Nat Neurosci       Date:  2000-11       Impact factor: 24.884

2.  Learned movements elicited by direct stimulation of cerebellar mossy fiber afferents.

Authors:  G Hesslow; P Svensson; M Ivarsson
Journal:  Neuron       Date:  1999-09       Impact factor: 17.173

3.  Purkinje cell activity during learning a new timing in classical eyeblink conditioning.

Authors:  Sadaharu Kotani; Shigenori Kawahara; Yutaka Kirino
Journal:  Brain Res       Date:  2003-12-24       Impact factor: 3.252

Review 4.  Neural substrates of eyeblink conditioning: acquisition and retention.

Authors:  Kimberly M Christian; Richard F Thompson
Journal:  Learn Mem       Date:  2003 Nov-Dec       Impact factor: 2.460

Review 5.  The neural basis of temporal processing.

Authors:  Michael D Mauk; Dean V Buonomano
Journal:  Annu Rev Neurosci       Date:  2004       Impact factor: 12.449

6.  Effect of conditioned stimulus parameters on timing of conditioned Purkinje cell responses.

Authors:  Pär Svensson; Dan-Anders Jirenhed; Fredrik Bengtsson; Germund Hesslow
Journal:  J Neurophysiol       Date:  2009-12-23       Impact factor: 2.714

7.  Double responding in classical nictitating membrane conditioning with single-CS dual-ISI training.

Authors:  F K Hoehler; D W Leonard
Journal:  Pavlov J Biol Sci       Date:  1976 Jul-Sep

8.  Climbing fibres projecting to cat cerebellar anterior lobe activated by cutaneous A and C fibres.

Authors:  C F Ekerot; P Gustavsson; O Oscarsson; J Schouenborg
Journal:  J Physiol       Date:  1987-05       Impact factor: 5.182

9.  Cerebellum: essential involvement in the classically conditioned eyelid response.

Authors:  D A McCormick; R F Thompson
Journal:  Science       Date:  1984-01-20       Impact factor: 47.728

Review 10.  The role of the cerebellum in classical conditioning of discrete behavioral responses.

Authors:  R F Thompson; J E Steinmetz
Journal:  Neuroscience       Date:  2009-01-27       Impact factor: 3.590

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  32 in total

1.  A trigeminal conditioned stimulus yields fast acquisition of cerebellum-dependent conditioned eyeblinks.

Authors:  Andrew J Carrel; Svitlana Zbarska; Gary D Zenitsky; Vlastislav Bracha
Journal:  Behav Brain Res       Date:  2011-09-12       Impact factor: 3.332

Review 2.  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

3.  Number of spikes in climbing fibers determines the direction of cerebellar learning.

Authors:  Anders Rasmussen; Dan-Anders Jirenhed; Riccardo Zucca; Fredrik Johansson; Pär Svensson; Germund Hesslow
Journal:  J Neurosci       Date:  2013-08-14       Impact factor: 6.167

4.  Time course of classically conditioned Purkinje cell response is determined by initial part of conditioned stimulus.

Authors:  Dan-Anders Jirenhed; Germund Hesslow
Journal:  J Neurosci       Date:  2011-06-22       Impact factor: 6.167

5.  Relating cerebellar purkinje cell activity to the timing and amplitude of conditioned eyelid responses.

Authors:  Hunter E Halverson; Andrei Khilkevich; Michael D Mauk
Journal:  J Neurosci       Date:  2015-05-20       Impact factor: 6.167

6.  More gain less pain: balance control learning shifts the activation patterns of leg and neck muscles and increases muscular parsimony.

Authors:  Pierpaolo Iodice; Stefano Cesinaro; Gian Luca Romani; Giovanni Pezzulo
Journal:  Exp Brain Res       Date:  2015-04-21       Impact factor: 1.972

7.  Learned response sequences in cerebellar Purkinje cells.

Authors:  Dan-Anders Jirenhed; Anders Rasmussen; Fredrik Johansson; Germund Hesslow
Journal:  Proc Natl Acad Sci U S A       Date:  2017-05-22       Impact factor: 11.205

8.  Interaction of temporal and ordinal representations in movement sequences.

Authors:  Katja Kornysheva; Anika Sierk; Jörn Diedrichsen
Journal:  J Neurophysiol       Date:  2012-12-05       Impact factor: 2.714

9.  Retention and extinction of delay eyeblink conditioning are modulated by central cannabinoids.

Authors:  Adam B Steinmetz; John H Freeman
Journal:  Learn Mem       Date:  2011-09-22       Impact factor: 2.460

Review 10.  Spike-coding mechanisms of cerebellar temporal processing in classical conditioning and voluntary movements.

Authors:  Kenji Yamaguchi; Yoshio Sakurai
Journal:  Cerebellum       Date:  2014-10       Impact factor: 3.847

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