Skip to main content
bioRxiv
  • Home
  • About
  • Submit
  • ALERTS / RSS
Advanced Search
New Results

Time-to-target simplifies optimal control of visuomotor feedback responses

View ORCID ProfileJustinas Česonis, View ORCID ProfileDavid W. Franklin
doi: https://doi.org/10.1101/582874
Justinas Česonis
1Technical University of Munich, Germany
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Justinas Česonis
David W. Franklin
1Technical University of Munich, Germany
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for David W. Franklin
  • For correspondence: david.franklin@tum.de
  • Abstract
  • Full Text
  • Info/History
  • Metrics
  • Supplementary material
  • Preview PDF
Loading

Abstract

Visuomotor feedback responses vary in intensity throughout a reach, commonly explained by optimal control. Here we show that the optimal control for a range of movements with the same goal can be simplified to a time-to-target dependent control scheme. We measure participants’ visuomotor responses in five reaching conditions, each with different hand or cursor kinematics. Participants only produced different feedback responses when these kinematic changes resulted in different times-to-target. We complement our experimental data with a range of finite and non-finite horizon optimal feedback control models, finding that only the model with time-to-target as one of the input parameters can successfully replicate the experimental data. Overall, this suggests that time-to-target is a critical control parameter in online feedback control. Moreover, we propose that for a specific task and known dynamics, humans can instantly produce a control signal without any computation allowing rapid response onset and close to optimal control.

Footnotes

  • Revisions to the manuscript including the motivation, removing linear modelling section, adding infinite and receding horizon optimal control models and new simulation tasks.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC 4.0 International license.
Back to top
PreviousNext
Posted July 04, 2019.
Download PDF

Supplementary Material

Email

Thank you for your interest in spreading the word about bioRxiv.

NOTE: Your email address is requested solely to identify you as the sender of this article.

Enter multiple addresses on separate lines or separate them with commas.
Time-to-target simplifies optimal control of visuomotor feedback responses
(Your Name) has forwarded a page to you from bioRxiv
(Your Name) thought you would like to see this page from the bioRxiv website.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Share
Time-to-target simplifies optimal control of visuomotor feedback responses
Justinas Česonis, David W. Franklin
bioRxiv 582874; doi: https://doi.org/10.1101/582874
Reddit logo Twitter logo Facebook logo LinkedIn logo Mendeley logo
Citation Tools
Time-to-target simplifies optimal control of visuomotor feedback responses
Justinas Česonis, David W. Franklin
bioRxiv 582874; doi: https://doi.org/10.1101/582874

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Subject Area

  • Neuroscience
Subject Areas
All Articles
  • Animal Behavior and Cognition (4237)
  • Biochemistry (9147)
  • Bioengineering (6786)
  • Bioinformatics (24020)
  • Biophysics (12137)
  • Cancer Biology (9544)
  • Cell Biology (13795)
  • Clinical Trials (138)
  • Developmental Biology (7642)
  • Ecology (11715)
  • Epidemiology (2066)
  • Evolutionary Biology (15517)
  • Genetics (10650)
  • Genomics (14332)
  • Immunology (9492)
  • Microbiology (22856)
  • Molecular Biology (9103)
  • Neuroscience (49028)
  • Paleontology (355)
  • Pathology (1484)
  • Pharmacology and Toxicology (2572)
  • Physiology (3848)
  • Plant Biology (8337)
  • Scientific Communication and Education (1472)
  • Synthetic Biology (2296)
  • Systems Biology (6196)
  • Zoology (1302)