We investigated the possibility of using a machine-learning scheme in conjunction with commercial wearable EEG-devices for translating listener’s subjective experience of music into scores that can be used in popular on-demand music streaming services.

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Neuroscientists used a chronically implanted intracortical microelectrode array to record multiunit activity from the motor cortex and link in real-time to muscle activation to restore movement in a paralysed human.
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Spontaneous network activity in the form of Up and Down states plays an important role in the function of neural circuits and reflects intrinsic connectivity. Such cortical dynamics are shaped by genes, experience and intrinsic cellular properties and form the substrate upon which external stimuli and neuromodulation will impinge to determine cortical responses. Read the rest of this entry…

A postdoctoral research position is available at Carnegie Mellon University for collaborative research on statistical analysis of neural data.

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