The Cerebellum: Adaptive Prediction for Movement and Cognition

Research output: Contribution to journalArticlepeer-review

Authors

External organisations

  • Service de Neurologie, Département des Neurosciences Cliniques, Centre Hospitalier Universitaire Vaudois (CHUV)
  • Wellcome Trust Centre for Neuroimaging, Institute of Neurology, University College London
  • Department of Psychology and Helen Wills Neuroscience Institute, University of California

Abstract

Over the past 30 years, cumulative evidence has indicated that cerebellar function extends beyond sensorimotor control. This view has emerged from studies of neuroanatomy, neuroimaging, neuropsychology, and brain stimulation, with the results implicating the cerebellum in domains as diverse as attention, language, executive function, and social cognition. Although the literature provides sophisticated models of how the cerebellum helps refine movements, it remains unclear how the core mechanisms of these models can be applied when considering a broader conceptualization of cerebellar function. In light of recent multidisciplinary findings, we examine how two key concepts that have been suggested as general computational principles of cerebellar function- prediction and error-based learning- might be relevant in the operation of cognitive cerebro-cerebellar loops.

Details

Original languageEnglish
Pages (from-to)313-332
Number of pages20
JournalTrends in Cognitive Sciences
Volume21
Issue number5
Early online date3 Apr 2017
Publication statusPublished - May 2017

Keywords

  • cerebellum, cognition, prediction, learning, language, social cognition