Literature DB >> 33349476

A Network Perspective on Sensorimotor Learning.

Hansem Sohn1, Nicolas Meirhaeghe2, Rishi Rajalingham1, Mehrdad Jazayeri3.   

Abstract

What happens in the brain when we learn? Ever since the foundational work of Cajal, the field has made numerous discoveries as to how experience could change the structure and function of individual synapses. However, more recent advances have highlighted the need for understanding learning in terms of complex interactions between populations of neurons and synapses. How should one think about learning at such a macroscopic level? Here, we develop a conceptual framework to bridge the gap between the different scales at which learning operates, from synapses to neurons to behavior. Using this framework, we explore the principles that guide sensorimotor learning across these scales, and set the stage for future experimental and theoretical work in the field.
Copyright © 2020 Elsevier Ltd. All rights reserved.

Keywords:  dimensionality; internal models; neural plasticity; neural population; sensorimotor learning; state space framework

Year:  2020        PMID: 33349476     DOI: 10.1016/j.tins.2020.11.007

Source DB:  PubMed          Journal:  Trends Neurosci        ISSN: 0166-2236            Impact factor:   13.837


  8 in total

Review 1.  How learning unfolds in the brain: toward an optimization view.

Authors:  Jay A Hennig; Emily R Oby; Darby M Losey; Aaron P Batista; Byron M Yu; Steven M Chase
Journal:  Neuron       Date:  2021-10-13       Impact factor: 17.173

2.  The impact of aging on human brain network target controllability.

Authors:  Giulia Bassignana; Giordano Lacidogna; Paolo Bartolomeo; Olivier Colliot; Fabrizio De Vico Fallani
Journal:  Brain Struct Funct       Date:  2022-10-23       Impact factor: 3.748

Review 3.  Adaptive Feedback Control in Human Reaching Adaptation to Force Fields.

Authors:  James Mathew; Frédéric Crevecoeur
Journal:  Front Hum Neurosci       Date:  2021-12-27       Impact factor: 3.169

4.  Distinct representations of body and head motion are dynamically encoded by Purkinje cell populations in the macaque cerebellum.

Authors:  Omid A Zobeiri; Kathleen E Cullen
Journal:  Elife       Date:  2022-04-25       Impact factor: 8.713

5.  Understanding implicit and explicit sensorimotor learning through neural dynamics.

Authors:  Xueqian Deng; Mengzhan Liufu; Jingyue Xu; Chen Yang; Zina Li; Juan Chen
Journal:  Front Comput Neurosci       Date:  2022-08-03       Impact factor: 3.387

6.  Personality and brain contribute to academic achievements of medical students.

Authors:  Yingying Xie; Congcong Yuan; Mengru Sun; Jie Sun; Ningnannan Zhang; Wen Qin; Feng Liu; Hui Xue; Hao Ding; Sijia Wang; Jinyan He; Lizhi Hu; Xiaoxia Li; Chunshui Yu
Journal:  Front Neurosci       Date:  2022-09-06       Impact factor: 5.152

7.  Small, correlated changes in synaptic connectivity may facilitate rapid motor learning.

Authors:  Juan A Gallego; Claudia Clopath; Barbara Feulner; Matthew G Perich; Raeed H Chowdhury; Lee E Miller
Journal:  Nat Commun       Date:  2022-09-02       Impact factor: 17.694

8.  Validating model-based Bayesian integration using prior-cost metamers.

Authors:  Hansem Sohn; Mehrdad Jazayeri
Journal:  Proc Natl Acad Sci U S A       Date:  2021-06-22       Impact factor: 11.205

  8 in total

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