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1、AI THAT LEARNS FROM THE HUMAN BRAINTHE QUALIA PROBLEMZander,T.O.,&Kothe,C.(2011).Towards passive BrainComputer Interfaces:Applying BrainComputer Interface technology to HumanMachine Systems in general.Journal of Neural Engineering,8(2),025005.Enables a machine to adapt to humans implicitly,potential
2、ly even without their awareness.EmotionsMental workloadContext-relatedresponsesInterpretationsIntentionsPassive brain-computer interfaces Multiple pBCI dimensions Brain responseNeuroadaptive reinforcement learningIMPLICIT CURSOR CONTROL A model ofdirectional preferencesGenerating a model of the huma
3、n perspectiveReinforcement learning with a brain-based reward functionNeuroadaptive reward functionIMPLICIT CURSOR CONTROLResults Brain Products GmbHUser trainingMachine trainingApplicationThe user learns how to generate appropriate control signalsThe machine learns to detect these signals on labele
4、d dataThe machine interprets the EEG data onlineReal-world obstacles(c)Brain Products GmbH0-15 min10-45 minLong termZypherMobile,wearable hardwareUNIVERSAL CLASSIFICATIONGeneralize over large amounts of dataAgnostic of sensor systemsApplicable in all contextsPlug&play applicationCHANGING THE WORLDTHE FUTURE IS YOURS