Literature DB >> 25014401

A perspective on multisensory integration and rapid perturbation responses.

Tyler Cluff1, Frédéric Crevecoeur1, Stephen H Scott2.   

Abstract

In order to perform accurate movements, the nervous system must transform sensory feedback into motor commands that compensate for errors caused by motor variability and external disturbances. Recent studies focusing on the importance of sensory feedback in motor control have illustrated that the brain generates highly flexible responses to visual perturbations (hand-cursor or target jumps), or following mechanical loads applied to the limb. These parallel approaches have emphasized sophisticated, goal-directed feedback control, but also reveal that flexible perturbation responses are expressed at different latencies depending on what sensory system is engaged by the perturbation. Across studies, goal-directed visuomotor responses consistently emerge in muscle activity ∼100ms after a perturbation, while mechanical perturbations evoke goal-directed muscle responses in as little as ∼60ms (long-latency responses). We discuss the limitation of current models of multisensory integration in light of these asynchronous processing delays, and suggest that understanding how the brain performs real-time multisensory integration is an open question for future studies.
Copyright © 2014 Elsevier Ltd. All rights reserved.

Keywords:  Flexible feedback control; Multisensory integration; Postural control; Reaching; Stretch responses; Visuomotor control

Mesh:

Year:  2014        PMID: 25014401     DOI: 10.1016/j.visres.2014.06.011

Source DB:  PubMed          Journal:  Vision Res        ISSN: 0042-6989            Impact factor:   1.886


  24 in total

1.  Time course of changes in the long-latency feedback response parallels the fast process of short-term motor adaptation.

Authors:  Susan K Coltman; Paul L Gribble
Journal:  J Neurophysiol       Date:  2020-07-08       Impact factor: 2.714

Review 2.  Cortico-cerebellar interactions during goal-directed behavior.

Authors:  Nuo Li; Thomas D Mrsic-Flogel
Journal:  Curr Opin Neurobiol       Date:  2020-09-24       Impact factor: 6.627

3.  Audiovisual detection at different intensities and delays.

Authors:  Chandramouli Chandrasekaran; Steven P Blurton; Matthias Gondan
Journal:  J Math Psychol       Date:  2019-07-02       Impact factor: 2.223

4.  Visual Feedback Processing of the Limb Involves Two Distinct Phases.

Authors:  Kevin P Cross; Tyler Cluff; Tomohiko Takei; Stephen H Scott
Journal:  J Neurosci       Date:  2019-07-15       Impact factor: 6.167

Review 5.  Computational principles and models of multisensory integration.

Authors:  Chandramouli Chandrasekaran
Journal:  Curr Opin Neurobiol       Date:  2016-12-02       Impact factor: 6.627

6.  The role of feedback in the production of skilled finger sequences.

Authors:  Nicola J Popp; Carlos R Hernandez-Castillo; Paul L Gribble; Jörn Diedrichsen
Journal:  J Neurophysiol       Date:  2022-03-02       Impact factor: 2.714

7.  Feedforward and Feedback Control Share an Internal Model of the Arm's Dynamics.

Authors:  Rodrigo S Maeda; Tyler Cluff; Paul L Gribble; J Andrew Pruszynski
Journal:  J Neurosci       Date:  2018-10-24       Impact factor: 6.167

8.  Rapid feedback responses are flexibly coordinated across arm muscles to support goal-directed reaching.

Authors:  Jeffrey Weiler; Paul L Gribble; J Andrew Pruszynski
Journal:  J Neurophysiol       Date:  2017-11-08       Impact factor: 2.714

9.  Motor Cortical Visuomotor Feedback Activity Is Initially Isolated from Downstream Targets in Output-Null Neural State Space Dimensions.

Authors:  Sergey D Stavisky; Jonathan C Kao; Stephen I Ryu; Krishna V Shenoy
Journal:  Neuron       Date:  2017-06-15       Impact factor: 17.173

Review 10.  The need for calcium imaging in nonhuman primates: New motor neuroscience and brain-machine interfaces.

Authors:  Daniel J O'Shea; Eric Trautmann; Chandramouli Chandrasekaran; Sergey Stavisky; Jonathan C Kao; Maneesh Sahani; Stephen Ryu; Karl Deisseroth; Krishna V Shenoy
Journal:  Exp Neurol       Date:  2016-08-07       Impact factor: 5.330

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