Literature DB >> 27504860

A comparative approach to cerebellar function: insights from electrosensory systems.

Richard Warren1, Nathaniel B Sawtell2.   

Abstract

Despite its simple and highly-ordered circuitry the function of the cerebellum remains a topic of vigorous debate. This review explores connections between the cerebellum and sensory processing structures that closely resemble the cerebellum in terms of their evolution, development, patterns of gene expression, and circuitry. Recent studies of cerebellum-like structures involved in electrosensory processing in fish have provided insights into the functions of granule cells and unipolar brush cells-cell types shared with the cerebellum. We also discuss the possibility, supported by recent studies, that generating and subtracting predictions of the sensory consequences of motor commands may be core functions shared by both cerebellum-like structures and the cerebellum. Copyright Â
© 2016 Elsevier Ltd. All rights reserved.

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Year:  2016        PMID: 27504860      PMCID: PMC5123925          DOI: 10.1016/j.conb.2016.07.012

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


  68 in total

Review 1.  Computer simulation of cerebellar information processing.

Authors:  J F Medina; M D Mauk
Journal:  Nat Neurosci       Date:  2000-11       Impact factor: 24.884

Review 2.  Memory-based expectations in electrosensory systems.

Authors:  C C Bell
Journal:  Curr Opin Neurobiol       Date:  2001-08       Impact factor: 6.627

3.  Integration of quanta in cerebellar granule cells during sensory processing.

Authors:  Paul Chadderton; Troy W Margrie; Michael Häusser
Journal:  Nature       Date:  2004-04-22       Impact factor: 49.962

4.  Cerebellum predicts the future motor state.

Authors:  Timothy J Ebner; Siavash Pasalar
Journal:  Cerebellum       Date:  2008       Impact factor: 3.847

5.  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

6.  Synaptic plasticity in a cerebellum-like structure depends on temporal order.

Authors:  C C Bell; V Z Han; Y Sugawara; K Grant
Journal:  Nature       Date:  1997-05-15       Impact factor: 49.962

7.  Mechanisms for motor timing in the cerebellar cortex.

Authors:  Fredrik Johansson; Germund Hesslow; Javier F Medina
Journal:  Curr Opin Behav Sci       Date:  2016-04

Review 8.  Consensus paper: the role of the cerebellum in perceptual processes.

Authors:  Oliver Baumann; Ronald J Borra; James M Bower; Kathleen E Cullen; Christophe Habas; Richard B Ivry; Maria Leggio; Jason B Mattingley; Marco Molinari; Eric A Moulton; Michael G Paulin; Marina A Pavlova; Jeremy D Schmahmann; Arseny A Sokolov
Journal:  Cerebellum       Date:  2015-04       Impact factor: 3.847

9.  The cerebellum linearly encodes whisker position during voluntary movement.

Authors:  Susu Chen; George J Augustine; Paul Chadderton
Journal:  Elife       Date:  2016-01-19       Impact factor: 8.140

10.  An internal model architecture for novelty detection: implications for cerebellar and collicular roles in sensory processing.

Authors:  Sean R Anderson; John Porrill; Martin J Pearson; Anthony G Pipe; Tony J Prescott; Paul Dean
Journal:  PLoS One       Date:  2012-09-05       Impact factor: 3.240

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  4 in total

1.  Dopaminergic regulation of vestibulo-cerebellar circuits through unipolar brush cells.

Authors:  Jose Ernesto Canton-Josh; Joanna Qin; Joseph Salvo; Yevgenia Kozorovitskiy
Journal:  Elife       Date:  2022-04-27       Impact factor: 8.713

2.  The neuroecology of the water-to-land transition and the evolution of the vertebrate brain.

Authors:  Malcolm A MacIver; Barbara L Finlay
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2021-12-27       Impact factor: 6.237

3.  Artificial selection on brain size leads to matching changes in overall number of neurons.

Authors:  Lucie Marhounová; Alexander Kotrschal; Kristina Kverková; Niclas Kolm; Pavel Němec
Journal:  Evolution       Date:  2019-08-01       Impact factor: 3.694

4.  Feedback optimizes neural coding and perception of natural stimuli.

Authors:  Chengjie G Huang; Michael G Metzen; Maurice J Chacron
Journal:  Elife       Date:  2018-10-05       Impact factor: 8.140

  4 in total

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