Neuroimaging-based approaches in the brain-computer interface

Byoung-Kyong Min, Matthew J. Marzelli, Seung Schik Yoo

Research output: Contribution to journalArticle

53 Citations (Scopus)

Abstract

Techniques to enable direct communication between the brain and computers/machines, such as the brain-computer interface (BCI) or the brain-machine interface (BMI), are gaining momentum in the neuroscientific realm, with potential applications ranging from medicine to general consumer electronics. Noninvasive BCI techniques based on neuroimaging modalities are reviewed in terms of their methodological approaches as well as their similarities and differences. Trends in automated data interpretation through machine learning algorithms are also introduced. Applications of functional neuromodulation techniques to BCI systems would allow for bidirectional communication between the brain and the computer. Such bidirectional interfaces can relay information directly from one brain to another using a computer as a medium, ultimately leading to the concept of a brain-to-brain interface (BBI).

Original languageEnglish
Pages (from-to)552-560
Number of pages9
JournalTrends in Biotechnology
Volume28
Issue number11
DOIs
Publication statusPublished - 2010 Nov 1
Externally publishedYes

Fingerprint

Neuroimaging
Brain-Computer Interfaces
Brain computer interface
Brain
Computer Systems
Consumer electronics
Communication
Bioelectric potentials
Learning algorithms
Interfaces (computer)
Medicine
Learning systems
Momentum

ASJC Scopus subject areas

  • Biotechnology
  • Bioengineering

Cite this

Neuroimaging-based approaches in the brain-computer interface. / Min, Byoung-Kyong; Marzelli, Matthew J.; Yoo, Seung Schik.

In: Trends in Biotechnology, Vol. 28, No. 11, 01.11.2010, p. 552-560.

Research output: Contribution to journalArticle

Min, Byoung-Kyong ; Marzelli, Matthew J. ; Yoo, Seung Schik. / Neuroimaging-based approaches in the brain-computer interface. In: Trends in Biotechnology. 2010 ; Vol. 28, No. 11. pp. 552-560.
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