Neuroscience

The IEEE Brain Initiative is partnering with the 3rd IEEE Big Data Governance and Metadata Management Workshop (BDGMM) to host Hackathon Track #2, Brain Data Bank on Video Gaming Enhances Cognitive Skills. The BDGMM Workshop will be held in conjunction with IEEE Big Data 2018 in Seattle, Washington, and the hackathon will take place 10-11 December 2018. Cash awards will be given to top places. Registration link is provided here: https://bigdatawg.nist.gov/bdmm2018.html

  • Neuroscience
  • Brain
  • Last Updated On: 
    Mon, 12/10/2018 - 20:07
    Citation Author(s): 
    J.A. Anguera, J. Boccanfuso, J.L. Rintoul, O. Al-Hashimi, F. Faraji, J. Janowich, E. Kong, Y.Larraburo, C. Rolle, E. Johnston and A. Gazzaley

    Microfluidic Lab-on-a-dish (3D printing).

     

    O.V. Gradov group, INEPCP RAS, 2017-2018.

    https://vimeo.com/273508513

     

    Acknowledgements:

  • Image Fusion
  • Last Updated On: 
    Thu, 11/08/2018 - 10:34
    Citation Author(s): 
    Nasirov P.A., Gradov O.V.

    This hackathon is co-located with the 42nd IEEE International Conference on Computers, Software & Application. The hackathon event will take place July 23-24 in Tokyo, Japan.
    Register here: https://ieeecompsac.computer.org/2018/big-data-hackathon-registration/
    More details: https://bigdatawg.nist.gov/bdgmm_compsac2018.html

  • Neuroscience
  • Brain
  • Last Updated On: 
    Tue, 04/02/2019 - 11:51
    Citation Author(s): 
    J.A. Anguera, J. Boccanfuso, J.L. Rintoul, O. Al-Hashimi, F. Faraji, J. Janowich, E. Kong, Y.Larraburo, C. Rolle, E. Johnston and A. Gazzaley

    Previous neuroimaging research has been traditionally confined to strict laboratory environments due to the limits of technology. Only recently have more studies emerged exploring the use of mobile brain imaging outside the laboratory. This study uses electroencephalography (EEG) and signal processing techniques to provide new opportunities for studying mobile subjects moving outside of the laboratory and in real world settings. The purpose of this study was to document the current viability of using high density EEG for mobile brain imaging both indoors and outdoors.

  • Neuroscience
  • Last Updated On: 
    Sat, 06/16/2018 - 23:16

    Electroencephalography (EEG) signal data was collected from twelve healthy subjects with no known musculoskeletal or neurological deficits (mean age 25.5 ± 3.7, 11 male, 1 female, 1 left handed, 11 right handed) using an EGI Geodesics© Hydrocel EEG 64-Channel spongeless sensor net. All subjects gave their informed consent for inclusion before they participated in the study. The study was conducted in accordance with the Declaration of Helsinki, and the protocol was approved by the Ethics Committee of the University of Wisconsin-Milwaukee (17.352).

  • Biomedical and Health Sciences
  • Last Updated On: 
    Thu, 11/08/2018 - 10:34
    Citation Author(s): 
    Joshua Myszewski, Rezwan Sheikh, Thomas Reina, Eric Bergendahl, Mohammad Rahman

    A quantitative understanding of how sensory signals are transformed into motor outputs places useful constraints on brain function and helps reveal the brain's underlying computations. Here we present over 8,000 animal hours of behavior recordings to investigate the nematode C. elegans' response to time-varying mechanosensory signals. We use a high-throughput optogenetic assay, video microscopy and automated behavior quantification.

  • Neuroscience
  • Last Updated On: 
    Tue, 07/16/2019 - 11:19

    The IEEE Brain Initiative intends to continue to present Neurotech innovation/education opportunities around the world after sponsoring several challenges and competitions in 2017 in St.

  • Neuroscience
  • Brain
  • Last Updated On: 
    Thu, 08/30/2018 - 18:37
    Citation Author(s): 
    J.A. Anguera, J. Boccanfuso, J.L. Rintoul, O. Al-Hashimi, F. Faraji, J. Janowich, E. Kong, Y.Larraburo, C. Rolle, E. Johnston and A. Gazzaley

    This is the last in a series of challenges and competitons sponsored by IEEE Brain Initiative in 2017 that explore various brain/neuro datasets.  Results and final presentations are expected to be made at the Boston (Cambridge) event, December 9, 2017.  NOTE: EVENT IS STILL ON AS SCHEDULED DESPITE WEATHER. 

    COMPETITION DETAILS: https://brain.ieee.org/news/call-participation-ieee-brain-data-bank-chal...

  • Neuroscience
  • Brain
  • Last Updated On: 
    Tue, 05/29/2018 - 14:22
    Citation Author(s): 
    Barbey, AK; Kramer, A; Cohen, N; Hillman, C

    Terabytes of brain EEG data are available through open sources, collected from tests associated with human cognitive capability, stroke patient recovery, class learning ability, and other social environments, over a wide range of demographics. Some also play with stimulus such as audio, music, video, lights and digital games. 

  • Neuroscience
  • Biophysiological Signals
  • Brain
  • Last Updated On: 
    Thu, 02/15/2018 - 09:50
    Citation Author(s): 
    J.A. Anguera, J. Boccanfuso, J.L. Rintoul, O. Al-Hashimi, F. Faraji, J. Janowich, E. Kong, Y.Larraburo, C. Rolle, E. Johnston and A. Gazzaley

    Terabytes of brain EEG data are available through open sources, collected from tests associated with human cognitive capability, stroke patient recovery, class learning ability, and other social environments, over a wide range of demographics. Some also play with stimulus such as audio, music, video, lights and digital games. 

  • Neuroscience
  • Biophysiological Signals
  • Brain
  • Last Updated On: 
    Wed, 10/11/2017 - 15:44
    Citation Author(s): 
    J.A. Anguera, J. Boccanfuso, J.L. Rintoul, O. Al-Hashimi, F. Faraji, J. Janowich, E. Kong, Y.Larraburo, C. Rolle, E. Johnston and A. Gazzaley

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