Cerebellar Learning

Cerebellar Learning

by Elsevier Science

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Overview

Progress in Brain Research is the most acclaimed and accomplished series in neuroscience, firmly established as an extensive documentation of the advances in contemporary brain research. The volumes, some of which are derived from important international symposia, contain authoritative reviews and original articles by invited specialists. The rigorous editing of the volumes assures that they will appeal to all laboratory and clinical brain research workers in the various disciplines: neuroanatomy, neurophysiology, neuropharmacology, neuroendocrinology, neuropathology, basic neurology, biological psychiatry, and the behavioral sciences.

This volume, The Cerebellum and Memory Formation: Structure, Computation and Function, covers topics including feedback control of cerebellar learning; cortico-cerebellar organization and skill acquisition; cerebellar plasticity and learning in the oculomotor system, and more.

  • Leading authors review the state-of-the-art in their field of investigation, and provide their views and perspectives for future research
  • The volume reflects current thinking about the ways in which the cerebellum can engage in learning, and the contributors come from a variety of research fields.
  • The chapters express perspectives from different levels of analysis that range from molecular and cellular mechanisms through to long-range systems that allow the cerebellum to communicate with other brain areas.

Product Details

ISBN-13: 9780444634269
Publisher: Elsevier Science
Publication date: 06/07/2014
Series: ISSN , #210
Sold by: Barnes & Noble
Format: NOOK Book
Pages: 312
File size: 12 MB
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About the Author

Professor Ramnani received his PhD in Behavioural Neuroscience from the Department of Anatomy and Developmental Biology at University College London (UCL). He also holds a BSc (Hons) in Psychology from Birkbeck College London, and an MSc in Neuroscience from the Institute of Psychiatry (London). His postdoctoral training took place at the Wellcome Trust Centre for Neuroimaging (Institute of Neurology, UCL), the University Laboratory of Physiology and the Centre for fMRI of the Brain (FMRIB) at the University of Oxford. After his postdoctoral training he was appointed to a Lectureship in the Department of Psychology, Royal Holloway, University of London, where he is Professor of Neuroscience.

Cerebellar learning and plasticity are central to Professor Ramnani’s core research interests. He has attempted to integrate behavior, neurobiology and theory to understand cerebellar contributions to learning. This approach began as a PhD student when he studied a simple, cerebellar-dependent form of motor learning in animals. Since then his interests have expanded to include the roles of frontal lobe areas in cognition and action. His work has also built on the finding that the cerebellum communicates with multiple areas in the frontal lobe that include not only the cortical motor areas, but also the prefrontal cortex. His research group has used neuroimaging methods to understand the anatomical organization and evolution of prefrontal-cerebellar circuits, and the manner in which they communicate to support to the automation of cognitive operations. Professor Ramnani’s work is supported by research grants from a number of sources including the UK Biotechnology and Biological Sciences Research Council (BBSRC). He has published in a range of specialist and high profile journals including Nature Neurscience, Nature Reviews Neuroscience, and the Journal of Neuroscience. For the last ten years he has been actively engaged in promoting UK neuroscience as a Council and Committee member of the British Neuroscience Association.

Table of Contents

  1. Long-Term Depression as a Model of Cerebellar Plasticity
  2. Masao Ito, Kazuhiko Yamaguchi, Soichi Nagao and Tadashi Yamazaki

  3. The Organization of Plasticity in the Cerebellar Cortex: From Synapses to Control
  4. Egidio D'Angelo

  5. Questioning the Cerebellar Doctrine
  6. Elisa Galliano and Chris I. De Zeeuw

  7. Distribution of Neural Plasticity in Cerebellum-Dependent Motor Learning
  8. Michael Longley and Christopher H. Yeo

  9. Feedback Control of Learning by the Cerebello-Olivary Pathway
  10. Anders Rasmussen and Germund Hesslow

  11. Cerebellum Dependent Motor Learning: Lessons from Adaptation of Eye Movements in Primates
  12. Suryadeep Dash and Peter Thier

  13. Decorrelation Learning in the Cerebellum: Computational Analysis and Experimental Questions
  14. Paul Dean and John Porrill

  15. Modelling the Evolution of the Cerebellum: From Macroevolution to Function
  16. Jeroen Bert Smaers

  17. Cerebellar and Prefrontal Cortex Contributions to Adaptation, Strategies, and Reinforcement Learning
  18. Jordan A. Taylor and Richard B. Ivry

  19. Automatic and Controlled Processing in the Cortico-Cerebellar System Narender Ramnani

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