Literature DB >> 16713636

Building new motor responses: eyelid conditioning revisited.

José M Delgado-García1, Agnès Gruart.   

Abstract

Neural processes underlying memory and learning should be studied under the best possible physiological conditions - namely, in alert behaving animals. The classical conditioning of the nictitating membrane and eyelid response is a widely used experimental model for studying the neural bases of motor learning in mammals. Nevertheless, information is still needed on the functional aspects, taking place simultaneously in different cerebral structures, that underlie acquisition, extinction and recall of new motor and cognitive abilities. Here, we review recent data on the neural activity generated in selected brain sites (facial motor nuclei, deep cerebellar nuclei and the hippocampus) in simultaneity with the process of learning. The use of modern technologies for the proper recording of eyelid movements, for the identification of the recorded units, and for the activation of selective synaptic processes during the learning situation enables a precise redefinition of the role played by these neural structures in such associative learning. This review is part of the TINS special issue on The Neural Substrates of Cognition.

Mesh:

Year:  2006        PMID: 16713636     DOI: 10.1016/j.tins.2006.05.003

Source DB:  PubMed          Journal:  Trends Neurosci        ISSN: 0166-2236            Impact factor:   13.837


  31 in total

Review 1.  Consensus paper: roles of the cerebellum in motor control--the diversity of ideas on cerebellar involvement in movement.

Authors:  Mario Manto; James M Bower; Adriana Bastos Conforto; José M Delgado-García; Suzete Nascimento Farias da Guarda; Marcus Gerwig; Christophe Habas; Nobuhiro Hagura; Richard B Ivry; Peter Mariën; Marco Molinari; Eiichi Naito; Dennis A Nowak; Nordeyn Oulad Ben Taib; Denis Pelisson; Claudia D Tesche; Caroline Tilikete; Dagmar Timmann
Journal:  Cerebellum       Date:  2012-06       Impact factor: 3.847

2.  Dynamic changes in the cerebellar-interpositus/red-nucleus-motoneuron pathway during motor learning.

Authors:  Raudel Sánchez-Campusano; Agnès Gruart; José M Delgado-García
Journal:  Cerebellum       Date:  2011-12       Impact factor: 3.847

3.  Electrical stimulation of the rostral medial prefrontal cortex in rabbits inhibits the expression of conditioned eyelid responses but not their acquisition.

Authors:  Rocío Leal-Campanario; Alfonso Fairén; José M Delgado-García; Agnès Gruart
Journal:  Proc Natl Acad Sci U S A       Date:  2007-06-25       Impact factor: 11.205

Review 4.  The predictive brain state: asynchrony in disorders of attention?

Authors:  Jamshid Ghajar; Richard B Ivry
Journal:  Neuroscientist       Date:  2008-12-12       Impact factor: 7.519

5.  Mutation at the TrkB PLC{gamma}-docking site affects hippocampal LTP and associative learning in conscious mice.

Authors:  Agnès Gruart; Carla Sciarretta; Mauricio Valenzuela-Harrington; José M Delgado-García; Liliana Minichiello
Journal:  Learn Mem       Date:  2007 Jan-Feb       Impact factor: 2.460

6.  Electrical stimulation therapies for CNS disorders and pain are mediated by competition between different neuronal networks in the brain.

Authors:  Carl L Faingold
Journal:  Med Hypotheses       Date:  2008-08-30       Impact factor: 1.538

7.  Dynamic associations in the cerebellar-motoneuron network during motor learning.

Authors:  Raudel Sánchez-Campusano; Agnès Gruart; José M Delgado-García
Journal:  J Neurosci       Date:  2009-08-26       Impact factor: 6.167

8.  Implications on cerebellar function from information coding.

Authors:  Chiming Huang
Journal:  Cerebellum       Date:  2008       Impact factor: 3.847

9.  Changes in cerebellar intrinsic neuronal excitability and synaptic plasticity result from eyeblink conditioning.

Authors:  Bernard G Schreurs
Journal:  Neurobiol Learn Mem       Date:  2019-09-19       Impact factor: 2.877

10.  Recruitment in retractor bulbi muscle during eyeblink conditioning: EMG analysis and common-drive model.

Authors:  N F Lepora; J Porrill; C H Yeo; C Evinger; P Dean
Journal:  J Neurophysiol       Date:  2009-08-12       Impact factor: 2.714

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