Literature DB >> 35351828

Mixed Selectivity in the Cerebellar Purkinje-Cell Response during Visuomotor Association Learning.

Naveen Sendhilnathan1,2,3,4, Michael E Goldberg2,3,5,4,6, Anna E Ipata2,3,4.   

Abstract

Although the cerebellum has been traditionally considered to be exclusively involved in motor control, recent anatomic and clinical studies show that it also has a role in reward-processing. However, the way in which the movement-related and the reward-related neural activity interact at the level of the cerebellar cortex and contribute toward learning is still unclear. Here, we studied the simple spike activity of Purkinje cells in the mid-lateral cerebellum when 2 male monkeys learned to associate a right or left-hand movement with one of two visual symbolic cues. These cells had distinctly different discharge patterns between an overtrained symbol-hand association and a novel symbol-hand association, responding in association with the movement of both hands, although the kinematics of the movement did not change between the two conditions. The activity change was not related to the pattern of the visual symbols, the movement kinematics, the monkeys' reaction times, or the novelty of the visual symbols. The simple spike activity changed throughout the learning process, but the concurrent complex spikes did not instruct that change. Although these neurons also have reward-related activity, the reward-related and movement-related signals were independent. We suggest that this mixed selectivity may facilitate the flexible learning of difficult reinforcement learning problems.SIGNIFICANCE STATEMENT The cerebellum receives both motor-related and reward-related information. However, it is unclear how these two signals interact at the level of cerebellar cortex and contribute to learning nonmotor skills. Here we show that in the mid-lateral cerebellum, the reward information is encoded independently from the motor information such that during reward-based learning, only the reward information carried by the Purkinje cells inform learning while the motor information remains unchanged with learning.
Copyright © 2022 the authors.

Entities:  

Keywords:  Purkinje cells; cerebellum; electrophysiology; primates; reinforcement learning; reward

Mesh:

Year:  2022        PMID: 35351828      PMCID: PMC9087720          DOI: 10.1523/JNEUROSCI.1771-21.2022

Source DB:  PubMed          Journal:  J Neurosci        ISSN: 0270-6474            Impact factor:   6.709


  29 in total

Review 1.  Role of prefrontal cortex in a network for arbitrary visuomotor mapping.

Authors:  E A Murray; T J Bussey; S P Wise
Journal:  Exp Brain Res       Date:  2000-07       Impact factor: 1.972

2.  The cerebellar cognitive profile.

Authors:  Anna M Tedesco; Francesca R Chiricozzi; Silvia Clausi; Michela Lupo; Marco Molinari; Maria G Leggio
Journal:  Brain       Date:  2011-10-27       Impact factor: 13.501

Review 3.  Motor Learning and the Cerebellum.

Authors:  Chris I De Zeeuw; Michiel M Ten Brinke
Journal:  Cold Spring Harb Perspect Biol       Date:  2015-09-01       Impact factor: 10.005

4.  Neural Correlates of Reinforcement Learning in Mid-lateral Cerebellum.

Authors:  Naveen Sendhilnathan; Mulugeta Semework; Michael E Goldberg; Anna E Ipata
Journal:  Neuron       Date:  2020-01-27       Impact factor: 17.173

5.  Fiji: an open-source platform for biological-image analysis.

Authors:  Johannes Schindelin; Ignacio Arganda-Carreras; Erwin Frise; Verena Kaynig; Mark Longair; Tobias Pietzsch; Stephan Preibisch; Curtis Rueden; Stephan Saalfeld; Benjamin Schmid; Jean-Yves Tinevez; Daniel James White; Volker Hartenstein; Kevin Eliceiri; Pavel Tomancak; Albert Cardona
Journal:  Nat Methods       Date:  2012-06-28       Impact factor: 28.547

6.  TrackMate: An open and extensible platform for single-particle tracking.

Authors:  Jean-Yves Tinevez; Nick Perry; Johannes Schindelin; Genevieve M Hoopes; Gregory D Reynolds; Emmanuel Laplantine; Sebastian Y Bednarek; Spencer L Shorte; Kevin W Eliceiri
Journal:  Methods       Date:  2016-10-03       Impact factor: 3.608

7.  Coordinated cerebellar climbing fiber activity signals learned sensorimotor predictions.

Authors:  William Heffley; Eun Young Song; Ziye Xu; Benjamin N Taylor; Mary Anne Hughes; Andrew McKinney; Mati Joshua; Court Hull
Journal:  Nat Neurosci       Date:  2018-09-17       Impact factor: 24.884

8.  Mid-lateral cerebellar complex spikes encode multiple independent reward-related signals during reinforcement learning.

Authors:  Naveen Sendhilnathan; Anna Ipata; Michael E Goldberg
Journal:  Nat Commun       Date:  2021-11-09       Impact factor: 14.919

9.  Consensus Paper: Towards a Systems-Level View of Cerebellar Function: the Interplay Between Cerebellum, Basal Ganglia, and Cortex.

Authors:  Daniele Caligiore; Giovanni Pezzulo; Gianluca Baldassarre; Andreea C Bostan; Peter L Strick; Kenji Doya; Rick C Helmich; Michiel Dirkx; James Houk; Henrik Jörntell; Angel Lago-Rodriguez; Joseph M Galea; R Chris Miall; Traian Popa; Asha Kishore; Paul F M J Verschure; Riccardo Zucca; Ivan Herreros
Journal:  Cerebellum       Date:  2017-02       Impact factor: 3.847

10.  Cerebellar climbing fibers encode expected reward size.

Authors:  Noga Larry; Merav Yarkoni; Adi Lixenberg; Mati Joshua
Journal:  Elife       Date:  2019-10-29       Impact factor: 8.140

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