About Learning, Predictions and Adaptivity of Brains and Machines

author: Eilon Vaadia, Department of Physiology, Faculty of Medicine, The Hebrew University of Jerusalem
published: Aug. 10, 2009,   recorded: July 2009,   views: 5078


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Using useful signals from the brain, and useful computer algorithms to improve brain machine interfaces. I will talk about the physiology of motor cortex and the nature of activity of population of neurons in motor cortex during Sensorimotor learning, movement preparation and execution. I will present the approach of internal models of the brain as the basis for learning and perception and use all of the above to show how our current knowledge can facilitate approaches to adaptive brain machine interfaces.

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Reviews and comments:

Comment1 Rez, February 11, 2010 at 12:38 a.m.:

Good lecture.

It is all on invasive measures. Has KARMA been tested with scalp EEG?

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