Literature DB >> 21684147

The multiple roles of Purkinje cells in sensori-motor calibration: to predict, teach and command.

Javier F Medina1.   

Abstract

Neurophysiological recordings in the cerebellar cortex of awake-behaving animals are revolutionizing the way we think about the role of Purkinje cells in sensori-motor calibration. Early theorists suggested that if a movement became miscalibrated, Purkinje cell output would be changed to adjust the motor command and restore good performance. The finding that Purkinje cell activity changed in many sensori-motor calibration tasks was taken as strong support for this hypothesis. Based on more recent data, however, it has been suggested that changes in Purkinje cell activity do not contribute to the motor command directly; instead, they are used either as a teaching signal, or to predict the altered kinematics of the movement after calibration has taken place. I will argue that these roles are not mutually exclusive, and that Purkinje cells may contribute to command generation, teaching, and prediction at different times during sensori-motor calibration.
Copyright © 2011 Elsevier Ltd. All rights reserved.

Entities:  

Mesh:

Year:  2011        PMID: 21684147      PMCID: PMC3957422          DOI: 10.1016/j.conb.2011.05.025

Source DB:  PubMed          Journal:  Curr Opin Neurobiol        ISSN: 0959-4388            Impact factor:   6.627


  60 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

2.  Cerebellar flocculus and paraflocculus Purkinje cell activity during circular pursuit in monkey.

Authors:  H C Leung; M Suh; R E Kettner
Journal:  J Neurophysiol       Date:  2000-01       Impact factor: 2.714

Review 3.  Learning to predict the future: the cerebellum adapts feedforward movement control.

Authors:  Amy J Bastian
Journal:  Curr Opin Neurobiol       Date:  2006-10-30       Impact factor: 6.627

4.  Purkinje cell activity during motor learning.

Authors:  P F Gilbert; W T Thach
Journal:  Brain Res       Date:  1977-06-10       Impact factor: 3.252

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.  Internal models in the cerebellum.

Authors:  D M Wolpert; R C Miall; M Kawato
Journal:  Trends Cogn Sci       Date:  1998-09-01       Impact factor: 20.229

Review 7.  What features of limb movements are encoded in the discharge of cerebellar neurons?

Authors:  Timothy J Ebner; Angela L Hewitt; Laurentiu S Popa
Journal:  Cerebellum       Date:  2011-12       Impact factor: 3.847

8.  Neural basis for motor learning in the vestibuloocular reflex of primates. II. Changes in the responses of horizontal gaze velocity Purkinje cells in the cerebellar flocculus and ventral paraflocculus.

Authors:  S G Lisberger; T A Pavelko; H M Bronte-Stewart; L S Stone
Journal:  J Neurophysiol       Date:  1994-08       Impact factor: 2.714

9.  Neuronal premotor networks involved in eyelid responses: retrograde transneuronal tracing with rabies virus from the orbicularis oculi muscle in the rat.

Authors:  Sara Morcuende; José-Maria Delgado-Garcia; Gabriella Ugolini
Journal:  J Neurosci       Date:  2002-10-15       Impact factor: 6.167

10.  Elimination of climbing fiber instructive signals during motor learning.

Authors:  Michael C Ke; Cong C Guo; Jennifer L Raymond
Journal:  Nat Neurosci       Date:  2009-08-16       Impact factor: 24.884

View more
  39 in total

Review 1.  Are we ready for a natural history of motor learning?

Authors:  Lior Shmuelof; John W Krakauer
Journal:  Neuron       Date:  2011-11-03       Impact factor: 17.173

2.  Circuit mechanisms underlying motor memory formation in the cerebellum.

Authors:  Ka Hung Lee; Paul J Mathews; Alexander M B Reeves; Katrina Y Choe; Shekib A Jami; Raul E Serrano; Thomas S Otis
Journal:  Neuron       Date:  2015-04-02       Impact factor: 17.173

Review 3.  Oscillations, Timing, Plasticity, and Learning in the Cerebellum.

Authors:  G Cheron; J Márquez-Ruiz; B Dan
Journal:  Cerebellum       Date:  2016-04       Impact factor: 3.847

4.  Movement Rate Is Encoded and Influenced by Widespread, Coherent Activity of Cerebellar Molecular Layer Interneurons.

Authors:  Michael A Gaffield; Jason M Christie
Journal:  J Neurosci       Date:  2017-04-07       Impact factor: 6.167

5.  Model-based and model-free mechanisms of human motor learning.

Authors:  Adrian M Haith; John W Krakauer
Journal:  Adv Exp Med Biol       Date:  2013       Impact factor: 2.622

6.  Credit assignment in movement-dependent reinforcement learning.

Authors:  Samuel D McDougle; Matthew J Boggess; Matthew J Crossley; Darius Parvin; Richard B Ivry; Jordan A Taylor
Journal:  Proc Natl Acad Sci U S A       Date:  2016-05-31       Impact factor: 11.205

7.  Precise control of movement kinematics by optogenetic inhibition of Purkinje cell activity.

Authors:  Shane A Heiney; Jinsook Kim; George J Augustine; Javier F Medina
Journal:  J Neurosci       Date:  2014-02-05       Impact factor: 6.167

8.  Dorsal striatum is necessary for stimulus-value but not action-value learning in humans.

Authors:  Khoi Vo; Robb B Rutledge; Anjan Chatterjee; Joseph W Kable
Journal:  Brain       Date:  2014-10-01       Impact factor: 13.501

Review 9.  Skilled forelimb movements and internal copy motor circuits.

Authors:  Eiman Azim; Bror Alstermark
Journal:  Curr Opin Neurobiol       Date:  2015-01-10       Impact factor: 6.627

10.  Cerebellar Prediction of the Dynamic Sensory Consequences of Gravity.

Authors:  Isabelle Mackrous; Jerome Carriot; Mohsen Jamali; Kathleen E Cullen
Journal:  Curr Biol       Date:  2019-08-01       Impact factor: 10.834

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.