Literature DB >> 21159969

A decrementing form of plasticity apparent in cerebellar learning.

Tatsuya Ohyama1, Horatiu Voicu, Brian Kalmbach, Michael D Mauk.   

Abstract

Long-term synaptic plasticity is believed to underlie the capacity for learning and memory. In the cerebellum, for example, long-term plasticity contributes to eyelid conditioning and to learning in eye movement systems. We report evidence for a decrementing form of cerebellar plasticity as revealed by the behavioral properties of eyelid conditioning in the rabbit. We find that conditioned eyelid responses exhibit within-session changes that recover by the next day. These changes, which increase with the interstimulus interval, involve decreases in conditioned response magnitude and likelihood as well as increases in latency to onset. Within-subject comparisons show that these changes differ in magnitude depending on the type of training, arguing against motor fatigue or changes in motor pathways downstream of the cerebellum. These phenomena are also observed when stimulation of mossy fibers substitutes for the conditioned stimulus, suggesting that changes take place within the cerebellum or in downstream efferent pathways. Together, these observations suggest a plasticity mechanism in the cerebellum that is induced during training sessions and fades within 23 h. To formalize this hypothesis more specifically, we show that incorporating a short-lasting potentiation at the granule cell to Purkinje cell synapses in a computer simulation of the cerebellum reproduces these behavioral effects. We propose the working hypothesis that the presynaptic form of long-term potentiation observed at these synapses is reversed by time rather than by a corresponding long-term depression. These results demonstrate the utility of eyelid conditioning as a means to identify and characterize the rules that govern input to output transformations in the cerebellum.

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Year:  2010        PMID: 21159969      PMCID: PMC3014316          DOI: 10.1523/JNEUROSCI.2455-10.2010

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


  74 in total

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Authors:  Varda Lev-Ram; Samar B Mehta; David Kleinfeld; Roger Y Tsien
Journal:  Proc Natl Acad Sci U S A       Date:  2003-12-11       Impact factor: 11.205

2.  Extinction revisited: similarities between extinction and reductions in US intensity in classical conditioning of the rabbit's nictitating membrane response.

Authors:  E James Kehoe; Natasha E White
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Authors:  Wei Zhang; David J Linden
Journal:  J Neurosci       Date:  2006-06-28       Impact factor: 6.167

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Authors:  Uma R Karmarkar; Dean V Buonomano
Journal:  Neuron       Date:  2007-02-01       Impact factor: 17.173

Review 5.  State-dependent computations: spatiotemporal processing in cortical networks.

Authors:  Dean V Buonomano; Wolfgang Maass
Journal:  Nat Rev Neurosci       Date:  2009-01-15       Impact factor: 34.870

6.  Characterization of synaptic connections between cortex and deep nuclei of the rat cerebellum in vitro.

Authors:  D Mouginot; B H Gähwiler
Journal:  Neuroscience       Date:  1995-02       Impact factor: 3.590

7.  Functional diversity of GABA-activated Cl- currents in Purkinje versus granule neurons in rat cerebellar slices.

Authors:  G Puia; E Costa; S Vicini
Journal:  Neuron       Date:  1994-01       Impact factor: 17.173

Review 8.  Properties and mechanisms of long-term synaptic plasticity in the mammalian brain: relationships to learning and memory.

Authors:  S Maren; M Baudry
Journal:  Neurobiol Learn Mem       Date:  1995-01       Impact factor: 2.877

9.  Excitatory inputs to cerebellar dentate nucleus neurons from the cerebral cortex in the cat.

Authors:  Y Shinoda; Y Sugiuchi; T Futami
Journal:  Exp Brain Res       Date:  1987       Impact factor: 1.972

10.  Inhibitory synaptic currents in stellate cells of rat cerebellar slices.

Authors:  I Llano; H M Gerschenfeld
Journal:  J Physiol       Date:  1993-08       Impact factor: 5.182

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  8 in total

1.  Links Between Single-Trial Changes and Learning Rate in Eyelid Conditioning.

Authors:  Andrei Khilkevich; Hunter E Halverson; Jose Ernesto Canton-Josh; Michael D Mauk
Journal:  Cerebellum       Date:  2016-04       Impact factor: 3.847

2.  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 3.  Asymmetries in Cerebellar Plasticity and Motor Learning.

Authors:  Heather K Titley; Christian Hansel
Journal:  Cerebellum       Date:  2016-04       Impact factor: 3.847

4.  Systematic variation of acquisition rate in delay eyelid conditioning.

Authors:  Hunter E Halverson; Loren C Hoffmann; Yujin Kim; Eszter A Kish; Michael D Mauk
Journal:  Behav Neurosci       Date:  2016-05-19       Impact factor: 1.912

5.  Trace Eyeblink Conditioning in Mice Is Dependent upon the Dorsal Medial Prefrontal Cortex, Cerebellum, and Amygdala: Behavioral Characterization and Functional Circuitry

Authors:  Jennifer J Siegel; William Taylor; Richard Gray; Brian Kalmbach; Boris V Zemelman; Niraj S Desai; Daniel Johnston; Raymond A Chitwood
Journal:  eNeuro       Date:  2015-07-10

6.  Time course of the rabbit's conditioned nictitating membrane movements during acquisition, extinction, and reacquisition.

Authors:  E James Kehoe; Elliot A Ludvig; Richard S Sutton
Journal:  Learn Mem       Date:  2014-10-15       Impact factor: 2.460

7.  Cerebellar implementation of movement sequences through feedback.

Authors:  Andrei Khilkevich; Juan Zambrano; Molly-Marie Richards; Michael Dean Mauk
Journal:  Elife       Date:  2018-07-31       Impact factor: 8.140

Review 8.  The 40-year history of modeling active dendrites in cerebellar Purkinje cells: emergence of the first single cell "community model".

Authors:  James M Bower
Journal:  Front Comput Neurosci       Date:  2015-10-20       Impact factor: 2.380

  8 in total

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