Brain

MI dataset for deep learning

MI dataset for deep learning approach

Categories:
Brain
141 Views

IEEE Brain Data Bank Hackathon at COMPSAC 2018 Conference

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

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Neuroscience
Brain
Submitted On: 
Thu, 06/07/2018 - 23:47
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

Mobile Brain-Body Imaging during Indoor Treadmill Walking and Outdoor Overground Walking with a Visual Search Task

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.

Categories:
Neuroscience
Brain
Wearable Sensing
1142 Views

Segmented EEG Data from 12 Subjects during Left and Right Bicep Flexion

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).

Categories:
Biomedical and Health Sciences
Neuroscience
Biophysiological Signals
Brain
Signal Processing
Digital signal processing
1419 Views

IEEE Brain Data Bank Competition - Xi'an, China

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.

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Neuroscience
Brain
Submitted On: 
Mon, 03/12/2018 - 23:14
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

IEEE Brain Data Bank Competition - Boston, MA

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...

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Neuroscience
Brain
Submitted On: 
Tue, 10/10/2017 - 12:06
Last Updated On: 
Tue, 05/29/2018 - 14:22
Citation Author(s): 
Barbey, AK; Kramer, A; Cohen, N; Hillman, C

IEEE Brain Data Bank Challenge - Glasgow, Scotland

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. 

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Neuroscience
Biophysiological Signals
Brain
Submitted On: 
Fri, 08/04/2017 - 19:26
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

IEEE Brain Data Bank Challenge - Berlin Germany

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. 

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Neuroscience
Biophysiological Signals
Brain
Submitted On: 
Mon, 07/31/2017 - 17:42
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

IEEE Brain Data Bank Challenge - St. Petersburg, Russia

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.  

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Neuroscience
Biophysiological Signals
Brain
Submitted On: 
Tue, 04/18/2017 - 08:40
Last Updated On: 
Fri, 04/20/2018 - 15:35
Citation Author(s): 
To be provided

Tracking Neurons in a Moving and Deforming Brain Dataset

Advances in optical neuroimaging techniques now allow neural activity to be recorded with cellular resolution in awake and behaving animals.  Brain motion in these recordings pose a unique challenge. The location of individual neurons must  be tracked in 3D over time to accurately extract single neuron activity traces. Recordings from small invertebrates like C. elegans are especially challenging because they undergo very large brain motion and deformation during animal movement.

Categories:
Neuroscience
Brain
2891 Views

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