Learning to control a brain-machine interface for reaching and grasping by primates.

Jose M Carmena, Mikhail A Lebedev, Roy E Crist, Joseph E O'Doherty, David M Santucci, Dragan F Dimitrov, Parag G Patil, Craig S Henriquez, Miguel A L Nicolelis

November 2003 PLoS Biol

Synopsis of Social media discussions

The discussions demonstrate high engagement, with participants providing detailed references to the study’s experiments, such as monkeys controlling robotic limbs and neural reorganization. Words like 'demonstrate,' 'early results,' and mentions of 'prior art' reflect both admiration and recognition of the research's foundational impact.

A
Agreement
 Moderate agreement

Most discussions recognize the significance of the 2003 study, with some referencing prior art and claiming similar achievements.

I
Interest
 High level of interest

The topic of brain-machine interfaces and the historical achievements in the field noticeably piqued curiosity among participants.

E
Engagement
 High engagement

Users actively reference specific experiments, like controlled manipulations of robotic arms and brain reorganization, showing deep involvement.

I
Impact
 High level of impact

Comments highlight the pioneering nature of the research, emphasizing its influence on current and future neural interface developments.

Social Mentions

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2 Posts

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18 Posts

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10 Articles

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Metrics

Video Views

2,507,042

Total Likes

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Extended Reach

2,712,324

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Timeline: Posts about article

Top Social Media Posts

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  • Anjiólina Nakaya
    @neuroAnjiolina (Twitter)

    Learning to Control a Brain–Machine Interface for Reaching and Grasping by Primates | PLOS Biology Published: October 13, 2003 @MiguelNicolelis https://t.co/tgu7mnF0oE
    view full post

    September 7, 2024

  • My Simulation is Broken
    @mysimisbroken (Twitter)

    @rowancheung Dude, 2003 called and wants credit for having scooped Neuralink by more than a decade. (And, so does Nicolelis.) https://t.co/D7Gsic2QFj
    view full post

    March 21, 2023

    1

  • geistoooor
    @geistoooor (Twitter)

    @patlouiswilkie @GaryMarcus @denny_zhou Because evidence shows that https://t.co/njEtPM1tWs https://t.co/L6mIQNcZyQ
    view full post

    February 14, 2023

  • Shyamal Chandra | श्यामल चंद्र | শ্যামল চন্দ্র
    @shyamal_chandra (Twitter)

    Prior art: https://t.co/oiCxTGhHwF YouTube video: https://t.co/X835YIRgiv #USA1 @DukeU #NWO 99>1 42 .@elonmusk https://t.co/YmgC4KbFcX
    view full post

    April 9, 2021

  • Antonio Rensi
    @rensi_antonio (Twitter)

    RT @GJuantorena: @lbugnon @vpeterson09 Estas cosas ya las hacia @MiguelNicolelis hace 20 años: https://t.co/kUGW4I1q10 paper de 2003: http…
    view full post

    April 9, 2021

    4

  • Neil Burgess
    @NeilBurgess10 (Twitter)

    @behrenstimb You mean like this? https://t.co/NfVYjbtrCq
    view full post

    April 9, 2021

    6

  • beatrice
    @beattrice_ (Twitter)

    RT @GJuantorena: @lbugnon @vpeterson09 Estas cosas ya las hacia @MiguelNicolelis hace 20 años: https://t.co/kUGW4I1q10 paper de 2003: http…
    view full post

    April 9, 2021

    4

  • Rodrigo Cientista Sindicalista Artesão
    @RodrigoBiomedi (Twitter)

    RT @GJuantorena: @lbugnon @vpeterson09 Estas cosas ya las hacia @MiguelNicolelis hace 20 años: https://t.co/kUGW4I1q10 paper de 2003: http…
    view full post

    April 9, 2021

    4

  • Ricardo Rafael
    @rrafaelbio (Twitter)

    RT @GJuantorena: @lbugnon @vpeterson09 Estas cosas ya las hacia @MiguelNicolelis hace 20 años: https://t.co/kUGW4I1q10 paper de 2003: http…
    view full post

    April 9, 2021

    4

  • Miguel Nicolelis
    @MiguelNicolelis (Twitter)

    RT @GJuantorena: @lbugnon @vpeterson09 Estas cosas ya las hacia @MiguelNicolelis hace 20 años: https://t.co/kUGW4I1q10 paper de 2003: http…
    view full post

    April 9, 2021

    4

  • Fake 7400
    @k155la8 (Twitter)

    @PrgDiana Это было давно возможно, лол. Вот например работа 2003 года про импланты в мозг приматов и управление рукой робота. https://t.co/TP72i6hX6y Про то что приматы сообразительные и могут играть в сложные игры -- и так известно)
    view full post

    April 9, 2021

    6

  • Gustavo Juantorena
    @GJuantorena (Twitter)

    @lbugnon @vpeterson09 Estas cosas ya las hacia @MiguelNicolelis hace 20 años: https://t.co/kUGW4I1q10 paper de 2003: https://t.co/qbOcczxsSf
    view full post

    April 9, 2021

    11

    4

  • Albert Buchard
    @AlbertBuchard (Twitter)

    @criticalneuro @EricMTrautmann @bradpwyble The motor and visual applications are not an exaggeration, proofs of concepts exists for both and needed a strong multidisciplinary effort to make it an actual medical device. Nicolelis work is the reason why I decided to work in this field ... https://t.co/9D8mh1dh6B
    view full post

    August 29, 2020

  • Regina Laguna
    @ReginaLaguna (Twitter)

    RT @deruderu17: https://t.co/1Um9JXKLeu ademas eso (pon te botas de nontaña que es cuesta arriba)
    view full post

    May 12, 2020

    1

  • deruderu
    @deruderu17 (Twitter)

    https://t.co/1Um9JXKLeu ademas eso (pon te botas de nontaña que es cuesta arriba)
    view full post

    May 12, 2020

    1

    1

  • Nigel Ten Fleming
    @TenFleming (Twitter)

    “Here we demonstrate that primates can learn to reach and grasp virtual objects by controlling a robot arm through a closed-loop brain–machine interface (BMIc).” https://t.co/AOf1goqZdD
    view full post

    January 10, 2020

  • Nigel Ten Fleming
    @TenFleming (Twitter)

    Early results. “We demonstrate how the monkeys learn to control a real robotic actuator using a BMIc.” (BMIc = brain–machine interface). https://t.co/AOf1goqZdD
    view full post

    December 11, 2019

  • Nigel Ten Fleming
    @TenFleming (Twitter)

    Early results. “We demonstrate for what we believe is the first time the ability of the same ensemble of cells in closed-loop mode to control two distinct movements of a robotic arm: reaching and grasping.“ https://t.co/AOf1goqZdD
    view full post

    December 11, 2019

Abstract Synopsis

  • Primates can learn to control a brain-machine interface (BMI) to reach and grasp virtual objects by using neural signals to operate a robotic arm, with the system extracting multiple motor parameters like hand position, velocity, gripping force, and muscle activity from brain activity.
  • The study found that accurate control required recording from large groups of neurons since individual neurons often encode several motor parameters, and continuous use of the BMI improved both the system's predictions and the monkeys' ability to perform reaching and grasping tasks.
  • Learning to control the BMI was associated with changes in brain function, including reorganization in cortical areas, indicating that the monkeys integrated the BMI's feedback into their brain's motor and sensory representations.]