Towards real-time distributed signal modeling for brain-machine interfaces

Jack DiGiovanna, Loris Marchai, Prapaporn Rattanatamrong, Ming Zhao, Shalom Darmanjian, Babak Mahmoudi, Justin C. Sanchez, José C. Príncipe, Linda Hermer-Vazquez, Renato Figueiredo, José A B Fortes

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

4 Citations (Scopus)

Abstract

New architectures for Brain-Machine Interface communication and control use mixture models for expanding rehabilitation capabilities of disabled patients. Here we present and test a dynamic data-driven (BMI) Brain-Machine Interface architecture that relies on multiple pairs of forward-inverse models to predict, control, and learn the trajectories of a robotic arm in a real-time closed-loop system. A method of window-RLS was used to compute the forward-inverse model pairs in real-time and a model switching mechanism based on reinforcement learning was used to test the ability to map neural activity to elementary behaviors. The architectures were tested with in vivo data and implemented using remote computing resources.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages964-971
Number of pages8
Volume4487 LNCS
StatePublished - Dec 24 2007
Externally publishedYes
Event7th International Conference on Computational Science, ICCS 2007 - Beijing, China
Duration: May 27 2007May 30 2007

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4487 LNCS
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other7th International Conference on Computational Science, ICCS 2007
CountryChina
CityBeijing
Period5/27/075/30/07

Fingerprint

Brain-Computer Interfaces
Brain
Inverse Model
Real-time
Aptitude
Robotics
Modeling
Rehabilitation
Communication
Learning
Reinforcement Learning
Mixture Model
Data-driven
Robotic arms
Closed-loop System
Reinforcement learning
Closed loop systems
Patient rehabilitation
Trajectory
Predict

Keywords

  • Brain-machine interface
  • Forward-inverse models

ASJC Scopus subject areas

  • Computer Science(all)
  • Biochemistry, Genetics and Molecular Biology(all)
  • Theoretical Computer Science

Cite this

DiGiovanna, J., Marchai, L., Rattanatamrong, P., Zhao, M., Darmanjian, S., Mahmoudi, B., ... Fortes, J. A. B. (2007). Towards real-time distributed signal modeling for brain-machine interfaces. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4487 LNCS, pp. 964-971). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4487 LNCS).

Towards real-time distributed signal modeling for brain-machine interfaces. / DiGiovanna, Jack; Marchai, Loris; Rattanatamrong, Prapaporn; Zhao, Ming; Darmanjian, Shalom; Mahmoudi, Babak; Sanchez, Justin C.; Príncipe, José C.; Hermer-Vazquez, Linda; Figueiredo, Renato; Fortes, José A B.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 4487 LNCS 2007. p. 964-971 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4487 LNCS).

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

DiGiovanna, J, Marchai, L, Rattanatamrong, P, Zhao, M, Darmanjian, S, Mahmoudi, B, Sanchez, JC, Príncipe, JC, Hermer-Vazquez, L, Figueiredo, R & Fortes, JAB 2007, Towards real-time distributed signal modeling for brain-machine interfaces. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). vol. 4487 LNCS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 4487 LNCS, pp. 964-971, 7th International Conference on Computational Science, ICCS 2007, Beijing, China, 5/27/07.
DiGiovanna J, Marchai L, Rattanatamrong P, Zhao M, Darmanjian S, Mahmoudi B et al. Towards real-time distributed signal modeling for brain-machine interfaces. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 4487 LNCS. 2007. p. 964-971. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
DiGiovanna, Jack ; Marchai, Loris ; Rattanatamrong, Prapaporn ; Zhao, Ming ; Darmanjian, Shalom ; Mahmoudi, Babak ; Sanchez, Justin C. ; Príncipe, José C. ; Hermer-Vazquez, Linda ; Figueiredo, Renato ; Fortes, José A B. / Towards real-time distributed signal modeling for brain-machine interfaces. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 4487 LNCS 2007. pp. 964-971 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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