Literature DB >> 19409229

Timing in the cerebellum: oscillations and resonance in the granular layer.

E D'Angelo1, S K E Koekkoek, P Lombardo, S Solinas, E Ros, J Garrido, M Schonewille, C I De Zeeuw.   

Abstract

The brain generates many rhythmic activities, and the olivo-cerebellar system is not an exception. In recent years, the cerebellum has revealed activities ranging from low frequency to very high-frequency oscillations. These rhythms depend on the brain functional state and are typical of certain circuit sections or specific neurons. Interestingly, the granular layer, which gates sensorimotor and cognitive signals to the cerebellar cortex, can also sustain low frequency (7-25 Hz) and perhaps higher-frequency oscillations. In this review we have considered (i) how these oscillations are generated in the granular layer network depending on intrinsic electroresponsiveness and circuit connections, (ii) how these oscillations are correlated with those in other cerebellar circuit sections, and (iii) how the oscillating cerebellum communicates with extracerebellar structures. It is suggested that the granular layer can generate oscillations that integrate well with those generated in the inferior olive, in deep-cerebellar nuclei and in Purkinje cells. These rhythms, in turn, might play a role in cognition and memory consolidation by interacting with the mechanisms of long-term synaptic plasticity.

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Year:  2009        PMID: 19409229     DOI: 10.1016/j.neuroscience.2009.01.048

Source DB:  PubMed          Journal:  Neuroscience        ISSN: 0306-4522            Impact factor:   3.590


  46 in total

Review 1.  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

Review 2.  Realistic modeling of neurons and networks: towards brain simulation.

Authors:  Egidio D'Angelo; Sergio Solinas; Jesus Garrido; Claudia Casellato; Alessandra Pedrocchi; Jonathan Mapelli; Daniela Gandolfi; Francesca Prestori
Journal:  Funct Neurol       Date:  2013 Jul-Sep

Review 3.  The cerebellar network: revisiting the critical issues.

Authors:  Egidio D'Angelo
Journal:  J Physiol       Date:  2011-06-13       Impact factor: 5.182

Review 4.  Cerebellar motor learning versus cerebellar motor timing: the climbing fibre story.

Authors:  Rodolfo R Llinás
Journal:  J Physiol       Date:  2011-03-28       Impact factor: 5.182

Review 5.  Evaluating the adaptive-filter model of the cerebellum.

Authors:  Paul Dean; John Porrill
Journal:  J Physiol       Date:  2011-04-18       Impact factor: 5.182

6.  Subthreshold amplitude and phase resonance in models of quadratic type: nonlinear effects generated by the interplay of resonant and amplifying currents.

Authors:  Horacio G Rotstein
Journal:  J Comput Neurosci       Date:  2015-01-15       Impact factor: 1.621

7.  Membrane potential resonance in non-oscillatory neurons interacts with synaptic connectivity to produce network oscillations.

Authors:  Andrea Bel; Horacio G Rotstein
Journal:  J Comput Neurosci       Date:  2019-03-20       Impact factor: 1.621

8.  Gap Junction Modulation of Low-Frequency Oscillations in the Cerebellar Granule Cell Layer.

Authors:  Jennifer Claire Robinson; C Andrew Chapman; Richard Courtemanche
Journal:  Cerebellum       Date:  2017-08       Impact factor: 3.847

9.  A realistic large-scale model of the cerebellum granular layer predicts circuit spatio-temporal filtering properties.

Authors:  Sergio Solinas; Thierry Nieus; Egidio D'Angelo
Journal:  Front Cell Neurosci       Date:  2010-05-14       Impact factor: 5.505

10.  Rebuilding cerebellar network computations from cellular neurophysiology.

Authors:  Egidio D'Angelo
Journal:  Front Cell Neurosci       Date:  2010-11-04       Impact factor: 5.505

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