Learning to Decode Cognitive States from Brain Images
Machine Learning
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Recently, there has been a profound resurgence interest in expanding the effectiveness of human machine systems. The motivation for this interest stems not only from the growing realization that better designed systems - tailored to augment their user's innate skills and capabilities - will enable users to 'do more', but also from the fact that the world with which we interact is becoming increasingly reliant on machines. In the past, the human machine interface was bridged through engineering based principles, but, with our expanding understanding of how the human brain drives behavior it is now possible to consider, as never before, human machine design efforts that fully address human and machine needs at the same time.