Literature DB >> 17616795

A computational study of synaptic mechanisms of partial memory transfer in cerebellar vestibulo-ocular-reflex learning.

Naoki Masuda1, Shun-ichi Amari.   

Abstract

There is a debate regarding whether motor memory is stored in the cerebellar cortex, or the cerebellar nuclei, or both. Memory may be acquired in the cortex and then be transferred to the cerebellar nuclei. Based on a dynamical system modeling with a minimal set of variables, we theoretically investigated possible mechanisms of memory transfer and consolidation in the context of vestibulo-ocular reflex learning. We tested different plasticity rules for synapses in the cerebellar nuclei and took robustness of behavior against parameter variation as the criterion of plausibility of a model variant. In the most plausible scenarios, mossy-fiber nucleus-neuron synapses or Purkinje-cell nucleus-neuron synapses are plastic on a slow time scale and store permanent memory, whose content is passed from the cerebellar cortex storing transient memory. In these scenarios, synaptic strengths are potentiated when the mossy-fiber afferents to the nuclei are active during a pause in Purkinje-cell activities. Furthermore, assuming that mossy fibers create a limited variety of signals compared to parallel fibers, our model shows partial memory transfer from the cortex to the nuclei.

Entities:  

Mesh:

Year:  2007        PMID: 17616795     DOI: 10.1007/s10827-007-0045-7

Source DB:  PubMed          Journal:  J Comput Neurosci        ISSN: 0929-5313            Impact factor:   1.621


  61 in total

1.  Simulations of cerebellar motor learning: computational analysis of plasticity at the mossy fiber to deep nucleus synapse.

Authors:  J F Medina; M D Mauk
Journal:  J Neurosci       Date:  1999-08-15       Impact factor: 6.167

Review 2.  Beyond parallel fiber LTD: the diversity of synaptic and non-synaptic plasticity in the cerebellum.

Authors:  C Hansel; D J Linden; E D'Angelo
Journal:  Nat Neurosci       Date:  2001-05       Impact factor: 24.884

3.  Differential activation of monkey striatal neurons in the early and late stages of procedural learning.

Authors:  Shigehiro Miyachi; Okihide Hikosaka; Xiaofeng Lu
Journal:  Exp Brain Res       Date:  2002-07-26       Impact factor: 1.972

4.  Long-term depression at the mossy fiber-deep cerebellar nucleus synapse.

Authors:  Wei Zhang; David J Linden
Journal:  J Neurosci       Date:  2006-06-28       Impact factor: 6.167

5.  Neural learning rules for the vestibulo-ocular reflex.

Authors:  J L Raymond; S G Lisberger
Journal:  J Neurosci       Date:  1998-11-01       Impact factor: 6.167

6.  Activity patterns of cerebellar cortical neurones and climbing fibre afferents in the awake cat.

Authors:  D M Armstrong; J A Rawson
Journal:  J Physiol       Date:  1979-04       Impact factor: 5.182

Review 7.  Learning and memory in the vestibulo-ocular reflex.

Authors:  S du Lac; J L Raymond; T J Sejnowski; S G Lisberger
Journal:  Annu Rev Neurosci       Date:  1995       Impact factor: 12.449

8.  Cerebellar cortex lesions disrupt learning-dependent timing of conditioned eyelid responses.

Authors:  S P Perrett; B P Ruiz; M D Mauk
Journal:  J Neurosci       Date:  1993-04       Impact factor: 6.167

9.  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

Review 10.  Cerebellar long-term depression: characterization, signal transduction, and functional roles.

Authors:  M Ito
Journal:  Physiol Rev       Date:  2001-07       Impact factor: 37.312

View more
  15 in total

1.  Differential olivo-cerebellar cortical control of rebound activity in the cerebellar nuclei.

Authors:  Freek E Hoebeek; Laurens Witter; Tom J H Ruigrok; Chris I De Zeeuw
Journal:  Proc Natl Acad Sci U S A       Date:  2010-04-15       Impact factor: 11.205

Review 2.  Distributed Circuit Plasticity: New Clues for the Cerebellar Mechanisms of Learning.

Authors:  Egidio D'Angelo; Lisa Mapelli; Claudia Casellato; Jesus A Garrido; Niceto Luque; Jessica Monaco; Francesca Prestori; Alessandra Pedrocchi; Eduardo Ros
Journal:  Cerebellum       Date:  2016-04       Impact factor: 3.847

3.  Modeling memory consolidation during posttraining periods in cerebellovestibular learning.

Authors:  Tadashi Yamazaki; Soichi Nagao; William Lennon; Shigeru Tanaka
Journal:  Proc Natl Acad Sci U S A       Date:  2015-03-03       Impact factor: 11.205

4.  Cerebellar contributions to adaptive control of saccades in humans.

Authors:  Minnan Xu-Wilson; Haiyin Chen-Harris; David S Zee; Reza Shadmehr
Journal:  J Neurosci       Date:  2009-10-14       Impact factor: 6.167

5.  Synaptic plasticity in medial vestibular nucleus neurons: comparison with computational requirements of VOR adaptation.

Authors:  John R W Menzies; John Porrill; Mayank Dutia; Paul Dean
Journal:  PLoS One       Date:  2010-10-05       Impact factor: 3.240

6.  The contributions of interlocking loops and extensive nonlinearity to the properties of circadian clock models.

Authors:  Treenut Saithong; Kevin J Painter; Andrew J Millar
Journal:  PLoS One       Date:  2010-11-30       Impact factor: 3.240

Review 7.  Integrated plasticity at inhibitory and excitatory synapses in the cerebellar circuit.

Authors:  Lisa Mapelli; Martina Pagani; Jesus A Garrido; Egidio D'Angelo
Journal:  Front Cell Neurosci       Date:  2015-05-05       Impact factor: 5.505

8.  Distributed cerebellar plasticity implements adaptable gain control in a manipulation task: a closed-loop robotic simulation.

Authors:  Jesús A Garrido; Niceto R Luque; Egidio D'Angelo; Eduardo Ros
Journal:  Front Neural Circuits       Date:  2013-10-09       Impact factor: 3.492

9.  Distributed cerebellar plasticity implements generalized multiple-scale memory components in real-robot sensorimotor tasks.

Authors:  Claudia Casellato; Alberto Antonietti; Jesus A Garrido; Giancarlo Ferrigno; Egidio D'Angelo; Alessandra Pedrocchi
Journal:  Front Comput Neurosci       Date:  2015-02-25       Impact factor: 2.380

10.  Coupling internal cerebellar models enhances online adaptation and supports offline consolidation in sensorimotor tasks.

Authors:  Jean-Baptiste Passot; Niceto R Luque; Angelo Arleo
Journal:  Front Comput Neurosci       Date:  2013-07-15       Impact factor: 2.380

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.