The mid-lateral cerebellum is necessary for reinforcement learning

Author:

Sendhilnathan NaveenORCID,Goldberg Michael E.ORCID

Abstract

SummaryThe cerebellum has long been considered crucial for supervised motor learning and its optimization1-3. However, new evidence has also implicated the cerebellum in reward based learning4-8, executive function9-12, and frontal-like clinical deficits13. We recently showed that the simple spikes of Purkinje cells (P-cells) in the mid-lateral cerebellar hemisphere (Crus I and II) encode a reinforcement error signal when monkeys learn to associate arbitrary symbols with hand movements4. However, it is unclear if the cerebellum is necessary for any process beyond motor learning. To investigate if the mid-lateral cerebellum is actually necessary for learning visuomotor associations, we reversibly inactivated the mid-lateral cerebellum of two primates with muscimol while they learned to associate arbitrary symbols with hand movements. Here we show that cerebellar inactivation impaired the monkey’s ability to learn new associations, although it had no effect on the monkeys’ performance on a task with overtrained symbols. A computational model corroborates our results. Cerebellar inactivation increased the reaction time, but there were no deficits in any motor kinematics such as the hand movement, licking or eye movement. There was no loss of function when we inactivated a more anterior region of the cerebellum that is implicated in motor control. We suggest that the mid-lateral cerebellum, which provides a reinforcement learning error signal4, is necessary for visuomotor association learning. Our results have implications for the involvement of cerebellum in cognitive control, and add critical constraints to brain models of non-motor learning14,15.

Publisher

Cold Spring Harbor Laboratory

Reference32 articles.

1. Computational Principles of Supervised Learning in the Cerebellum

2. Thach, S. G. L. W. T. in Principles of Neural Science Vol. 5 (ed Eric R. Kandel ; James H. Schwartz ; Thomas M. Jessell ; Steven A. Siegelbaum ; A. J. Hudspeth ) Ch. 42, 960-981 (McGraw-Hill Education / Medical, 2012).

3. A theory of cerebellar cortex

4. Sendhilnathan, N. , Ipata, A. E. & Goldberg, M. E. Neural correlates of reinforcement learning in midlateral cerebellum. Neuron 106 (2020).

5. Classical conditioning drives learned reward prediction signals in climbing fibers across the lateral cerebellum

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3