Literature DB >> 25267641

Memory trace and timing mechanism localized to cerebellar Purkinje cells.

Fredrik Johansson1, Dan-Anders Jirenhed2, Anders Rasmussen2, Riccardo Zucca3, Germund Hesslow2.   

Abstract

The standard view of the mechanisms underlying learning is that they involve strengthening or weakening synaptic connections. Learned response timing is thought to combine such plasticity with temporally patterned inputs to the neuron. We show here that a cerebellar Purkinje cell in a ferret can learn to respond to a specific input with a temporal pattern of activity consisting of temporally specific increases and decreases in firing over hundreds of milliseconds without a temporally patterned input. Training Purkinje cells with direct stimulation of immediate afferents, the parallel fibers, and pharmacological blocking of interneurons shows that the timing mechanism is intrinsic to the cell itself. Purkinje cells can learn to respond not only with increased or decreased firing but also with an adaptively timed activity pattern.

Entities:  

Keywords:  cerebellum; eyeblink conditioning; glutamate transmission; temporal control

Mesh:

Substances:

Year:  2014        PMID: 25267641      PMCID: PMC4205653          DOI: 10.1073/pnas.1415371111

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  25 in total

1.  Effect of varying the intensity and train frequency of forelimb and cerebellar mossy fiber conditioned stimuli on the latency of conditioned eye-blink responses in decerebrate ferrets.

Authors:  P Svensson; M Ivarsson; G Hesslow
Journal:  Learn Mem       Date:  1997 May-Jun       Impact factor: 2.460

Review 2.  The return of the spike: postsynaptic action potentials and the induction of LTP and LTD.

Authors:  D J Linden
Journal:  Neuron       Date:  1999-04       Impact factor: 17.173

3.  Pharmacological characterization of an unusual mGluR-evoked neuronal hyperpolarization mediated by activation of GIRK channels.

Authors:  P Dutar; H M Vu; D J Perkel
Journal:  Neuropharmacology       Date:  1999-04       Impact factor: 5.250

Review 4.  The neural basis of temporal processing.

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

5.  Short-lasting conditioned stimulus applied to the middle cerebellar peduncle elicits delayed conditioned eye blink responses in the decerebrate ferret.

Authors:  P Svensson; M Ivarsson
Journal:  Eur J Neurosci       Date:  1999-12       Impact factor: 3.386

6.  Cerebellar cortex and eyeblink conditioning: bilateral regulation of conditioned responses.

Authors:  A Gruart; C H Yeo
Journal:  Exp Brain Res       Date:  1995       Impact factor: 1.972

7.  Suppression of cerebellar Purkinje cells during conditioned responses in ferrets.

Authors:  G Hesslow; M Ivarsson
Journal:  Neuroreport       Date:  1994-01-31       Impact factor: 1.837

8.  Correspondence between climbing fibre input and motor output in eyeblink-related areas in cat cerebellar cortex.

Authors:  G Hesslow
Journal:  J Physiol       Date:  1994-04-15       Impact factor: 5.182

9.  Inhibition of classically conditioned eyeblink responses by stimulation of the cerebellar cortex in the decerebrate cat.

Authors:  G Hesslow
Journal:  J Physiol       Date:  1994-04-15       Impact factor: 5.182

10.  Climbing fibre induced depression of both mossy fibre responsiveness and glutamate sensitivity of cerebellar Purkinje cells.

Authors:  M Ito; M Sakurai; P Tongroach
Journal:  J Physiol       Date:  1982-03       Impact factor: 5.182

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  52 in total

Review 1.  Climbing fibers mediate vestibular modulation of both "complex" and "simple spikes" in Purkinje cells.

Authors:  N H Barmack; V Yakhnitsa
Journal:  Cerebellum       Date:  2015-10       Impact factor: 3.847

2.  Purkinje cell activity during classical conditioning with different conditional stimuli explains central tenet of Rescorla–Wagner model [corrected].

Authors:  Anders Rasmussen; Riccardo Zucca; Fredrik Johansson; Dan-Anders Jirenhed; Germund Hesslow
Journal:  Proc Natl Acad Sci U S A       Date:  2015-10-26       Impact factor: 11.205

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.  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

Review 5.  Diversity and dynamism in the cerebellum.

Authors:  Chris I De Zeeuw; Stephen G Lisberger; Jennifer L Raymond
Journal:  Nat Neurosci       Date:  2020-12-07       Impact factor: 24.884

6.  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

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

Authors:  Martin Bareš; Richard Apps; Laura Avanzino; Assaf Breska; Egidio D'Angelo; Pavel Filip; Marcus Gerwig; Richard B Ivry; Charlotte L Lawrenson; Elan D Louis; Nicholas A Lusk; Mario Manto; Warren H Meck; Hiroshi Mitoma; Elijah A Petter
Journal:  Cerebellum       Date:  2019-04       Impact factor: 3.847

8.  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

9.  Taxonomies of Timing: Where Does the Cerebellum Fit In?

Authors:  Assaf Breska; Richard B Ivry
Journal:  Curr Opin Behav Sci       Date:  2016-04

10.  Toward an Integration of Deep Learning and Neuroscience.

Authors:  Adam H Marblestone; Greg Wayne; Konrad P Kording
Journal:  Front Comput Neurosci       Date:  2016-09-14       Impact factor: 2.380

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