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Actions from thoughts

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  • Miguel A. L. Nicolelis

    (Experimental Psychology, and Biomedical Engineering, Duke University)

Abstract

Real-time direct interfaces between the brain and electronic and mechanical devices could one day be used to restore sensory and motor functions lost through injury or disease. Hybrid brain–machine interfaces also have the potential to enhance our perceptual, motor and cognitive capabilities by revolutionizing the way we use computers and interact with remote environments.

Suggested Citation

  • Miguel A. L. Nicolelis, 2001. "Actions from thoughts," Nature, Nature, vol. 409(6818), pages 403-407, January.
    • Handle: RePEc:nat:nature:v:409:y:2001:i:6818:d:10.1038_35053191
    DOI: 10.1038/35053191
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    Cited by:

    1. Stephen, Damian G. & Dixon, James A., 2011. "Strong anticipation: Multifractal cascade dynamics modulate scaling in synchronization behaviors," Chaos, Solitons & Fractals, Elsevier, vol. 44(1), pages 160-168.
    2. Singh, Renu & Sarkar, Sudipa, 2015. "Does teaching quality matter? Students learning outcome related to teaching quality in public and private primary schools in India," International Journal of Educational Development, Elsevier, vol. 41(C), pages 153-163.
    3. Gülçin Mutlu & Ali Yıldırım, 2019. "Learning Environment Perceptions and Student Background Variables as Determinants of Persistence in EFL Learning," SAGE Open, , vol. 9(4), pages 21582440198, December.
    4. Andrés Úbeda & Enrique Hortal & Eduardo Iáñez & Carlos Perez-Vidal & Jose M Azorín, 2015. "Assessing Movement Factors in Upper Limb Kinematics Decoding from EEG Signals," PLOS ONE, Public Library of Science, vol. 10(5), pages 1-12, May.
    5. Zheng Li & Joseph E O'Doherty & Timothy L Hanson & Mikhail A Lebedev & Craig S Henriquez & Miguel A L Nicolelis, 2009. "Unscented Kalman Filter for Brain-Machine Interfaces," PLOS ONE, Public Library of Science, vol. 4(7), pages 1-18, July.

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