Development of symbiotic brain-machine interfaces using a neurophysiology cyberworkstation

Justin C. Sanchez, Renato Figueiredo, Jose Fortes, Jose C. Principe

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


We seek to develop a new generation of brain-machine interfaces (BMI) that enable both the user and the computer to engage in a symbiotic relationship where they must co-adapt to each other to solve goal-directed tasks. Such a framework would allow the possibility real-time understanding and modeling of brain behavior and adaptation to a changing environment, a major departure from either offline learning and static models or one-way adaptive models in conventional BMIs. To achieve a symbiotic architecture requires a computing infrastructure that can accommodate multiple neural systems, respond within the processing deadlines of sensorimotor information, and can provide powerful computational resources to design new modeling approaches. To address these issues we present or ongoing work in the development of a neurophysiology Cyberworkstation for BMI design.

Original languageEnglish (US)
Title of host publicationHuman-Computer Interaction
Subtitle of host publicationNovel Interaction Methods and Techniques - 13th International Conference, HCI International 2009, Proceedings
Number of pages10
EditionPART 2
StatePublished - Oct 28 2009
Event13th International Conference on Human-Computer Interaction, HCI International 2009 - San Diego, CA, United States
Duration: Jul 19 2009Jul 24 2009

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 2
Volume5611 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Other13th International Conference on Human-Computer Interaction, HCI International 2009
Country/TerritoryUnited States
CitySan Diego, CA


  • Brain-Machine Interface
  • Co-Adaptive
  • Cyberworkstation

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science


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