...
首页> 外文期刊>Annals of the New York Academy of Sciences >Cerebellar contributions to motor control and language comprehension: searching for common computational principles
【24h】

Cerebellar contributions to motor control and language comprehension: searching for common computational principles

机译:小脑对运动控制和语言理解的贡献:寻找通用的计算原理

获取原文
获取原文并翻译 | 示例
           

摘要

The past 25 years have seen the functional domain of the cerebellum extend beyond the realm of motor control, with considerable discussion of how this subcortical structure contributes to cognitive domains including attention, memory, and language. Drawing on evidence from neuroanatomy, physiology, neuropsychology, and computational work, sophisticated models have been developed to describe cerebellar function in sensorimotor control and learning. In contrast, mechanistic accounts of how the cerebellum contributes to cognition have remained elusive. Inspired by the homogeneous cerebellar microanatomy and a desire for parsimony, many researchers have sought to extend mechanistic ideas from motor control to cognition. One influential hypothesis centers on the idea that the cerebellum implements internal models, representations of the context-specific dynamics of an agent's interactions with the environment, enabling predictive control. We briefly review cerebellar anatomy and physiology, to review the internal model hypothesis as applied in the motor domain, before turning to extensions of these ideas in the linguistic domain, focusing on speech perception and semantic processing. While recent findings are consistent with this computational generalization, they also raise challenging questions regarding the nature of cerebellar learning, and may thus inspire revisions of our views on the role of the cerebellum in sensorimotor control.
机译:在过去的25年中,小脑的功能范围已经超出了运动控制的范围,并对此皮层下结构如何促进认知范围(包括注意力,记忆力和语言)进行了大量讨论。利用来自神经解剖学,生理学,神经心理学和计算工作的证据,已开发出复杂的模型来描述小脑在感觉运动控制和学习中的功能。相比之下,关于小脑如何促进认知的机制描述仍然难以捉摸。受同质小脑微观解剖学和对简约的渴望的启发,许多研究人员试图将机械学思想从运动控制扩展到认知。一种有影响力的假设基于小脑实现内部模型的思想,这种模型表示代理与环境交互的特定于上下文的动态,从而实现了预测性控制。我们简要回顾了小脑的解剖学和生理学,回顾了在运动领域中应用的内部模型假设,然后转向语言领域中这些思想的扩展,重点是语音感知和语义处理。尽管最近的发现与这种计算概括是一致的,但它们也提出了关于小脑学习性质的具有挑战性的问题,因此可能会激发我们对小脑在感觉运动控制中作用的观点的修正。

著录项

  • 来源
    《Annals of the New York Academy of Sciences》 |2016年第2016期|154-171|共18页
  • 作者单位

    Norwegian Centre for Mental Disorders Research (NORMENT), KG Jebsen Centre for Psychosis Research, Division of Mental Health and Addiction, Oslo University Hospital, Norway,Oslo University Hospital HF, Division of Mental Health and Addiction, Psychosis Research Unit/TOP, Ulleval Hospital, Building 49, P.O. Box 4956 Nydalen, N-0424 Oslo, Norway;

    Department of Psychology, and the Helen Wills Neuroscience Institute, University of California, Berkeley, Berkeley, California;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    cerebellum; language; cognition; motor control; computational mechanisms; internal models;

    机译:小脑语言;认识;电机控制;计算机制;内部模型;

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号