Prerequesites for symbiotic brain-machine interfaces

Justin C. Sanchez, Jose C. Principe

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Recent advancements in the neuroscience and engineering of Brain-Machine Interfaces are providing a blueprint for how new co-adaptive designs based on reinforcement learning change the nature of a user's ability to accomplish tasks that were not possible using static methodologies. By designing adaptive controls and artificial intelligence into the neural interface, computers can become active assistants in goal-directed behavior and further enhance human performance. This paper presents a set of minimal prerequisites that enable a cooperative symbiosis and dialogue between biological and artificial systems.

Original languageEnglish (US)
Title of host publicationProceedings 2009 IEEE International Conference on Systems, Man and Cybernetics, SMC 2009
Pages1736-1741
Number of pages6
DOIs
StatePublished - Dec 1 2009
Event2009 IEEE International Conference on Systems, Man and Cybernetics, SMC 2009 - San Antonio, TX, United States
Duration: Oct 11 2009Oct 14 2009

Publication series

NameConference Proceedings - IEEE International Conference on Systems, Man and Cybernetics
ISSN (Print)1062-922X

Other

Other2009 IEEE International Conference on Systems, Man and Cybernetics, SMC 2009
CountryUnited States
CitySan Antonio, TX
Period10/11/0910/14/09

Keywords

  • Brain-machine interface
  • Co-adaptive
  • Perception-action cycle
  • Symbiotic

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Control and Systems Engineering
  • Human-Computer Interaction

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  • Cite this

    Sanchez, J. C., & Principe, J. C. (2009). Prerequesites for symbiotic brain-machine interfaces. In Proceedings 2009 IEEE International Conference on Systems, Man and Cybernetics, SMC 2009 (pp. 1736-1741). [5346688] (Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics). https://doi.org/10.1109/ICSMC.2009.5346688