Cerebellar learning
Author(s)
Bibliographic Information
Cerebellar learning
(Progress in brain research, v. 210)
Elsevier, 2014
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Note
Includes bibliographical references and index
Description and Table of Contents
Description
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.
Table of Contents
1. Long-Term Depression as a Model of Cerebellar Plasticity Masao Ito, Kazuhiko Yamaguchi, Soichi Nagao and Tadashi Yamazaki 2. The Organization of Plasticity in the Cerebellar Cortex: From Synapses to Control Egidio D'Angelo 3. Questioning the Cerebellar Doctrine Elisa Galliano and Chris I. De Zeeuw 4. Distribution of Neural Plasticity in Cerebellum-Dependent Motor Learning Michael Longley and Christopher H. Yeo 5. Feedback Control of Learning by the Cerebello-Olivary Pathway Anders Rasmussen and Germund Hesslow 6. Cerebellum Dependent Motor Learning: Lessons from Adaptation of Eye Movements in Primates Suryadeep Dash and Peter Thier 7. Decorrelation Learning in the Cerebellum: Computational Analysis and Experimental Questions Paul Dean and John Porrill 8. Modelling the Evolution of the Cerebellum: From Macroevolution to Function Jeroen Bert Smaers 9. Cerebellar and Prefrontal Cortex Contributions to Adaptation, Strategies, and Reinforcement Learning Jordan A. Taylor and Richard B. Ivry 10. Automatic and Controlled Processing in the Cortico-Cerebellar System Narender Ramnani
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