Literature DB >> 24478355

Bidirectional plasticity of Purkinje cells matches temporal features of learning.

Daniel Z Wetmore1, Dan-Anders Jirenhed, Anders Rasmussen, Fredrik Johansson, Mark J Schnitzer, Germund Hesslow.   

Abstract

Many forms of learning require temporally ordered stimuli. In Pavlovian eyeblink conditioning, a conditioned stimulus (CS) must precede the unconditioned stimulus (US) by at least about 100 ms for learning to occur. Conditioned responses are learned and generated by the cerebellum. Recordings from the cerebellar cortex during conditioning have revealed CS-triggered pauses in the firing of Purkinje cells that likely drive the conditioned blinks. The predominant view of the learning mechanism in conditioning is that long-term depression (LTD) at parallel fiber (PF)-Purkinje cell synapses underlies the Purkinje cell pauses. This raises a serious conceptual challenge because LTD is most effectively induced at short CS-US intervals, which do not support acquisition of eyeblinks. To resolve this discrepancy, we recorded Purkinje cells during conditioning with short or long CS-US intervals. Decerebrated ferrets trained with CS-US intervals ≥150 ms reliably developed Purkinje cell pauses, but training with an interval of 50 ms unexpectedly induced increases in CS-evoked spiking. This bidirectional modulation of Purkinje cell activity offers a basis for the requirement of a minimum CS-US interval for conditioning, but we argue that it cannot be fully explained by LTD, even when previous in vitro studies of stimulus-timing-dependent LTD are taken into account.

Entities:  

Keywords:  Purkinje cells; cerebellum; conditioning; learning; temporal; timing

Mesh:

Year:  2014        PMID: 24478355      PMCID: PMC3905143          DOI: 10.1523/JNEUROSCI.2883-13.2014

Source DB:  PubMed          Journal:  J Neurosci        ISSN: 0270-6474            Impact factor:   6.167


  32 in total

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Authors:  Daniel Z Wetmore; Eran A Mukamel; Mark J Schnitzer
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Review 4.  Computational models of timing mechanisms in the cerebellar granular layer.

Authors:  Tadashi Yamazaki; Shigeru Tanaka
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5.  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

6.  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

7.  Stimulation parameters influencing climbing fibre induced long-term depression of parallel fibre synapses.

Authors:  C F Ekerot; M Kano
Journal:  Neurosci Res       Date:  1989-02       Impact factor: 3.304

8.  A theory of cerebellar cortex.

Authors:  D Marr
Journal:  J Physiol       Date:  1969-06       Impact factor: 5.182

9.  Stimulus parameters for induction of long-term depression in in vitro rat Purkinje cells.

Authors:  L Karachot; R T Kado; M Ito
Journal:  Neurosci Res       Date:  1994-12       Impact factor: 3.304

10.  Memory consolidation in the cerebellar cortex.

Authors:  Daniel O Kellett; Izumi Fukunaga; Eva Chen-Kubota; Paul Dean; Christopher H Yeo
Journal:  PLoS One       Date:  2010-07-29       Impact factor: 3.240

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  23 in total

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2.  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

3.  Consensus paper: Decoding the Contributions of the Cerebellum as a Time Machine. From Neurons to Clinical Applications.

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Journal:  Cerebellum       Date:  2019-04       Impact factor: 3.847

Review 4.  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

5.  Memory trace and timing mechanism localized to cerebellar Purkinje cells.

Authors:  Fredrik Johansson; Dan-Anders Jirenhed; Anders Rasmussen; Riccardo Zucca; Germund Hesslow
Journal:  Proc Natl Acad Sci U S A       Date:  2014-09-29       Impact factor: 11.205

Review 6.  Depressed by Learning-Heterogeneity of the Plasticity Rules at Parallel Fiber Synapses onto Purkinje Cells.

Authors:  Aparna Suvrathan; Jennifer L Raymond
Journal:  Cerebellum       Date:  2018-12       Impact factor: 3.847

7.  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
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Review 8.  Bidirectional learning in upbound and downbound microzones of the cerebellum.

Authors:  Chris I De Zeeuw
Journal:  Nat Rev Neurosci       Date:  2020-11-17       Impact factor: 34.870

9.  Cerebellar learning using perturbations.

Authors:  Guy Bouvier; Johnatan Aljadeff; Claudia Clopath; Célian Bimbard; Jonas Ranft; Antonin Blot; Jean-Pierre Nadal; Nicolas Brunel; Vincent Hakim; Boris Barbour
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10.  A biochemical mechanism for time-encoding memory formation within individual synapses of Purkinje cells.

Authors:  Ayush Mandwal; Javier G Orlandi; Christoph Simon; Jörn Davidsen
Journal:  PLoS One       Date:  2021-05-07       Impact factor: 3.240

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