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PreviousNext
Research ArticleMethods/New Tools, Novel Tools and Methods

Fast, Flexible Closed-Loop Feedback: Tracking Movement in “Real-Millisecond-Time”

Keisuke Sehara, Viktor Bahr, Ben Mitchinson, Martin J. Pearson, Matthew E. Larkum and Robert N. S. Sachdev
eNeuro 14 October 2019, 6 (6) ENEURO.0147-19.2019; https://doi.org/10.1523/ENEURO.0147-19.2019
Keisuke Sehara
1Institute of Biology, Humboldt University of Berlin, D-10117 Berlin, Germany
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Viktor Bahr
2Eridian Systems, D-10179 Berlin, Germany
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Ben Mitchinson
3Department of Computer Science, University of Sheffield, Sheffield, S10 2TP United Kingdom
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Martin J. Pearson
4Bristol Robotics Laboratory, University of Bristol and University of the West of England, Bristol, BS16 1QY United Kingdom
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Matthew E. Larkum
1Institute of Biology, Humboldt University of Berlin, D-10117 Berlin, Germany
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Robert N. S. Sachdev
1Institute of Biology, Humboldt University of Berlin, D-10117 Berlin, Germany
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Article Information

DOI 
https://doi.org/10.1523/ENEURO.0147-19.2019
PubMed 
31611334
Published By 
Society for Neuroscience
History 
  • Received April 17, 2019
  • Revision received September 12, 2019
  • Accepted September 16, 2019
  • Published online October 14, 2019.
Copyright & Usage 
Copyright © 2019 Sehara et al. This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International license, which permits unrestricted use, distribution and reproduction in any medium provided that the original work is properly attributed.

Author Information

  1. Keisuke Sehara1,
  2. Viktor Bahr2,
  3. Ben Mitchinson3,
  4. Martin J. Pearson4,
  5. Matthew E. Larkum1 and
  6. Robert N. S. Sachdev1
  1. 1Institute of Biology, Humboldt University of Berlin, D-10117 Berlin, Germany
  2. 2Eridian Systems, D-10179 Berlin, Germany
  3. 3Department of Computer Science, University of Sheffield, Sheffield, S10 2TP United Kingdom
  4. 4Bristol Robotics Laboratory, University of Bristol and University of the West of England, Bristol, BS16 1QY United Kingdom
  1. Correspondence should be addressed to Robert N. S. Sachdev at robert.sachdev{at}charite.de or Matthew E. Larkum at matthew.larkum{at}gmail.com
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Author contributions

  1. Author contributions: K.S., V.B., B.M., M.J.P., M.E.L., and R.N.S.S. designed research; K.S. performed research; K.S., V.B., B.M., and M.J.P. contributed unpublished reagents/analytic tools; K.S. analyzed data; K.S. and R.N.S.S. wrote the paper.

Disclosures

  • The authors declare no competing financial interests.

  • This work was supported by Deutsche Forschungsgemeinschaft Grants 2112280105 and LA 3442/3-1 and LA 3442/5-1 (to M.E.L.) and Project Number 327654276–SFB 1315; the European Union's Horizon 2020 Research and Innovation Program and Euratom Research and Training Program 2014–2018 Grant 670118 (to M.E.L.); the Human Brain Project EU Grant 720270, HBP SGA1 and SGA2, “Context-Sensitive Multisensory Object Recognition: A Deep Network Model Constrained by Multi-Level, Multi-Species Data” (to M.E.L.); and the Einstein Stiftung.

Funding

  • Deutsche Forschungsgemeinschaft (DFG)

    2112280105; LA 3442/3-1; LA 3442/5-1
  • European Union's Horizon 2020

  • Human Brain Project

Other Version

  • You are viewing the most recent version of this article.
  • previous version (October 14, 2019).

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Oct 20196044182
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Total150650361555
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Fast, Flexible Closed-Loop Feedback: Tracking Movement in “Real-Millisecond-Time”
Keisuke Sehara, Viktor Bahr, Ben Mitchinson, Martin J. Pearson, Matthew E. Larkum, Robert N. S. Sachdev
eNeuro 14 October 2019, 6 (6) ENEURO.0147-19.2019; DOI: 10.1523/ENEURO.0147-19.2019

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Fast, Flexible Closed-Loop Feedback: Tracking Movement in “Real-Millisecond-Time”
Keisuke Sehara, Viktor Bahr, Ben Mitchinson, Martin J. Pearson, Matthew E. Larkum, Robert N. S. Sachdev
eNeuro 14 October 2019, 6 (6) ENEURO.0147-19.2019; DOI: 10.1523/ENEURO.0147-19.2019
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Keywords

  • feedback
  • kinematics
  • motor
  • neuro-morphic
  • somatosensory
  • virtual reality

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