Literature DB >> 10790880

Population coding of movement dynamics by cerebellar Purkinje cells.

R J Krauzlis1.   

Abstract

In order to accomplish desired movements, the nervous system must specify the movement dynamics: it must provide a signal that compensates for the mechanical constraints encountered during movement. Here we tested whether the population activity of Purkinje cells in the cerebellum specifies the dynamics for pursuit eye movements. We first estimated the population activity by computing weighted averages of Purkinje cell firing on a millisecond time scale. We then generated predicted eye movements by transforming this pooled neural activity with a description of eye mechanics. We found that the equally weighted average of Purkinje cell outputs produced a close match between the predicted and actual eye movements. These findings demonstrate that neural circuits through the cerebellum are capable of providing the dynamic compensation necessary to achieve desired movements.

Entities:  

Mesh:

Year:  2000        PMID: 10790880     DOI: 10.1097/00001756-200004070-00029

Source DB:  PubMed          Journal:  Neuroreport        ISSN: 0959-4965            Impact factor:   1.837


  9 in total

1.  Components of the neural signal underlying congenital nystagmus.

Authors:  Ozgur E Akman; David S Broomhead; Richard V Abadi; Richard A Clement
Journal:  Exp Brain Res       Date:  2012-05-29       Impact factor: 1.972

2.  Cerebellum as a forward but not inverse model in visuomotor adaptation task: a tDCS-based and modeling study.

Authors:  Fatemeh Yavari; Shirin Mahdavi; Farzad Towhidkhah; Mohammad-Ali Ahmadi-Pajouh; Hamed Ekhtiari; Mohammad Darainy
Journal:  Exp Brain Res       Date:  2015-12-26       Impact factor: 1.972

3.  Catch-up saccades in head-unrestrained conditions reveal that saccade amplitude is corrected using an internal model of target movement.

Authors:  Pierre M Daye; Gunnar Blohm; Phillippe Lefèvre
Journal:  J Vis       Date:  2014-01-14       Impact factor: 2.240

4.  Variation, signal, and noise in cerebellar sensory-motor processing for smooth-pursuit eye movements.

Authors:  Javier F Medina; Stephen G Lisberger
Journal:  J Neurosci       Date:  2007-06-20       Impact factor: 6.167

5.  Eye-hand synergy and intermittent behaviors during target-directed tracking with visual and non-visual information.

Authors:  Chien-Ting Huang; Ing-Shiou Hwang
Journal:  PLoS One       Date:  2012-12-07       Impact factor: 3.240

6.  Links from complex spikes to local plasticity and motor learning in the cerebellum of awake-behaving monkeys.

Authors:  Javier F Medina; Stephen G Lisberger
Journal:  Nat Neurosci       Date:  2008-09-21       Impact factor: 24.884

Review 7.  Translational approach to behavioral learning: lessons from cerebellar plasticity.

Authors:  Guy Cheron; Bernard Dan; Javier Márquez-Ruiz
Journal:  Neural Plast       Date:  2013-11-11       Impact factor: 3.599

8.  Encoding of action by the Purkinje cells of the cerebellum.

Authors:  David J Herzfeld; Yoshiko Kojima; Robijanto Soetedjo; Reza Shadmehr
Journal:  Nature       Date:  2015-10-15       Impact factor: 49.962

9.  Participation of the caudal cerebellar lobule IX to the dorsal attentional network.

Authors:  Ramanoel Stephen; York Elizabeth; Habas Christophe
Journal:  Cerebellum Ataxias       Date:  2018-06-15
  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.