6th International ICST Conference on Collaborative Computing: Networking, Applications, Worksharing

Research Article

BMI CyberWorkstation: A cyberinfrastructure for collaborative experimental research on Brain-Machine Interfaces

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  • @INPROCEEDINGS{10.4108/icst.collaboratecom.2010.42,
    author={Prapaporn Rattanatamrong and Andr\^{e}a Matsunaga and Jos\^{e} A. B. Fortes},
    title={BMI CyberWorkstation: A cyberinfrastructure for collaborative experimental research on Brain-Machine Interfaces},
    proceedings={6th International ICST Conference on Collaborative Computing: Networking, Applications, Worksharing},
    publisher={IEEE},
    proceedings_a={COLLABORATECOM},
    year={2011},
    month={5},
    keywords={Brain-Machine Interfaces Collaborative Computing Cyberinfrastructure CyberWorkstation},
    doi={10.4108/icst.collaboratecom.2010.42}
}
  • Prapaporn Rattanatamrong
    Andréa Matsunaga
    José A. B. Fortes
    Year: 2011
    BMI CyberWorkstation: A cyberinfrastructure for collaborative experimental research on Brain-Machine Interfaces
    COLLABORATECOM
    ICST
    DOI: 10.4108/icst.collaboratecom.2010.42
Prapaporn Rattanatamrong1,*, Andréa Matsunaga1,*, José A. B. Fortes1,*
  • 1: Electrical and Computer Engineering Department, University of Florida, Gainesville, FL, 32611 USA
*Contact email: rattanat@ufl.edu, ammatsun@ufl.edu, fortes@ufl.edu

Abstract

This paper describes the design and implementation of an improved version (2.0) of a computational cyberinfrastructure for neuroscience research, called CyberWorkstation (CW). CW can provide to neurophysiology laboratories the following: (1) data storage for large volumes of neural signals, experimental parameters and computational results, (2) integration of necessary experimental equipment, powerful computational resources and robust software mechanisms that enable users to conduct online and offline BMI experiments, (3) a Web-based interface that permits users to conveniently setup, monitor and review their experiments and collaborate with others in analyzing and developing their research findings. The capabilities of the CW in enabling collaborative BMI research are demonstrated using forward models based on neural networks that predict positions of an agent in 2D movement control.

Keywords
Brain-Machine Interfaces Collaborative Computing Cyberinfrastructure CyberWorkstation
Published
2011-05-12
Publisher
IEEE
http://dx.doi.org/10.4108/icst.collaboratecom.2010.42
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