Literature DB >> 22255368

Using general-purpose graphic processing units for BCI systems.

J Adam Wilson1.   

Abstract

BioMEMS electrode array fabrication techniques are used to develop high-density arrays with hundreds of channels. However, it was previously impossible to process more than a fraction of these channels real-time for online BCI experiments due to computational resource restraints. It is now possible to use graphics processing units (GPUs), which can have several hundred processing cores each, to processes large amounts of data quickly. This paper summarizes advances in using GPUs for BCI processing for EEG, ECoG, and micro-electrode systems, with speedups of more than 30 times that of current state-of-the-art CPU-based BCI implementations.

Mesh:

Year:  2011        PMID: 22255368     DOI: 10.1109/IEMBS.2011.6091145

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  1 in total

1.  Large-scale neural circuit mapping data analysis accelerated with the graphical processing unit (GPU).

Authors:  Yulin Shi; Alexander V Veidenbaum; Alex Nicolau; Xiangmin Xu
Journal:  J Neurosci Methods       Date:  2014-09-30       Impact factor: 2.390

  1 in total

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