Brain electrical grids and computing grids: A perfect match Mike X Cohen.

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Presentation transcript:

Brain electrical grids and computing grids: A perfect match Mike X Cohen

The brain

GREEN The behavior

Brain electrical activity

Cutting-edge EEG recording technology 256 electrodes 1 kHz sampling ~5 GB/hour

Magnitude (  ) Phase angle (  ) real * imag. m   Data dimension explosion

Beamforming for source localization

Data dimensions: 1)Space (spherical or 3D) 2)Time 3)Frequency (power vs. phase) 4)Experiment condition 5)Connectivity 6)Subjects Why we need computational power

Example of typical results

It gets worse: Anatomical connectivity is also important.

Voxels EEG connectivity matrix Voxels DTI connectivity matrix EEG single-trial power MNE conflict effect Seeded tractography Linking anatomical and functional connectivity

The problem: Brain data analyses involve many repeated transformations of very large data matrices. Standard computers cannot handle these analyses without annoying interventions.

The solution: A scalable, dynamic, and remotely accessible grid of processors.

*Note: open to collaborations starting in 2013!