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08.05.2014
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Hitachi has successfully tested a brain-machine interface that allows users to turn power switches on and off with their mind.
The prototype brain-machine interface allows only simple control of switches, but with a better understanding of the subtle variations in blood concentrations associated with various brain activities, the signals can be refined and used to control more complex mechanical operations.
In the long term, brain-machine interface technology may help paralyzed patients become independent by empowering them to carry out actions with their minds. It has always been my dream to own such a brain interface to train certain regions of my brain. BrainGate is one of the world’s foremost research projects in Brain Machine Interface.


Episode #105 – Public Opinion Around Artificial Intelligence, is the Media Helping or Hurting? Relying on optical topography, a neuroimaging technique that uses near-infrared light to map blood concentration in the brain, the system can recognize the changes in brain blood flow associated with mental activity and translate those changes into voltage signals for controlling external devices.
In the short term, Hitachi sees potential applications for this brain-machine interface in the field of cognitive rehabilitation, where it can be used as an entertaining tool for demonstrating a patient?s progress. Stay on top of the AI and neurotech fields with weekly TechEmergence "Pulse" newsletter: At TechEmergence, we don't just share the latest artificial intelligence and neurotech breakthroughs, we interview the world's top emerging tech researchers and executives to share their insights on the progress and predictions of the field.
In the experiments, test subjects were able to activate the power switch of a model train by performing mental arithmetic and reciting items from memory. One - the Japanese coolosity factor, two - the iconic imagery and lastly, the high tech content.


Janos Perge works with BrainGate at Brown University, and offers a deeply insightful perspective of what problems brain-machine interface may be able to solve in the coming years. His writing has appeared in TechCrunch, the Boston Globe, the Boston Business Journal, and much more.
He is focused on the business and social implications of artificial intelligence - including market trends, research breakthroughs, and more.



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