Model development, testing and experimentation in a CyberWorkstation for Brain-Machine Interface research.

Prapaporn Rattanatamrong, Andrea Matsunaga, Pooja Raiturkar, Diego Mesa, Ming Zhao, Babak Mahmoudi, Jack Digiovanna, Jose Principe, Renato Figueiredo, Justin Sanchez, Jose Fortes

Research output: Contribution to journalArticle


The CyberWorkstation (CW) is an advanced cyber-infrastructure for Brain-Machine Interface (BMI) research. It allows the development, configuration and execution of BMI computational models using high-performance computing resources. The CW's concept is implemented using a software structure in which an "experiment engine" is used to coordinate all software modules needed to capture, communicate and process brain signals and motor-control commands. A generic BMI-model template, which specifies a common interface to the CW's experiment engine, and a common communication protocol enable easy addition, removal or replacement of models without disrupting system operation. This paper reviews the essential components of the CW and shows how templates can facilitate the processes of BMI model development, testing and incorporation into the CW. It also discusses the ongoing work towards making this process infrastructure independent.

Original languageEnglish (US)
Pages (from-to)4339-4342
Number of pages4
JournalConference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference
StatePublished - 2010
Externally publishedYes


ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Signal Processing
  • Biomedical Engineering
  • Health Informatics

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