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Deep Learning for real-time neural decoding of grasp
Neural decoding involves correlating signals acquired from the brain to variables in the physical world like limb movement or robot control in Brain Machine Interfaces.
Pushing the boundaries of parallel Deep Learning -- A practical approach
This work aims to assess the state of the art of data parallel deep neural network training, trying to identify potential research tracks to be exploited for performance improvement.
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