linkedin post 2019-12-11 04:47:57

linkedin post 2019-12-11 04:47:57

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BETTER FUNCTION. “In a small study that used internal electrodes and deep brain stimulation, people were able to learn and remember routes through a city better. They even demonstrated improved spatial ability, and were better at figuring out shortcuts that could help them along the way.” http://www.businessinsider.com/brain-implants-will-give-us-superpowers-2014-4 View in LinkedIn
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linkedin post 2019-12-11 04:52:28

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BRAIN-MACHINE CONTROLS. "A wireless transmitter could give paralyzed people a practical way to control TVs, computers, or wheelchairs with their thoughts. Blackrock Microsystems, have commercialized a wireless device that can be attached to a person’s skull and transmit via radio thought commands collected from a brain implant." http://www.technologyreview.com/news/534206/a-brain-computer-interface-that-works-wirelessly/ View in LinkedIn
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linkedin post 2019-12-12 04:42:58

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SENDING THOUGHTS. “IBM has various prototypes that read electrical impulses in parts of the brain associated with movement. In 2010 ZDNet UK visited an IBM research laboratory and was able to drive a remote-controlled car by 'thinking' of the direction it should go in.” https://lnkd.in/d93j7cx View in LinkedIn
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linkedin post 2019-12-12 04:44:14

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EARLY MONKEY DATA. “The activity of motor cortex (MI) neurons conveys movement intent sufficiently well to be used as a control signal to operate artificial devices, but until now this has called for extensive training or has been confined to a limited movement repertoire. Here we show how activity from a few (7–30) MI neurons can be decoded into a signal that a monkey is able to use immediately to move a computer cursor to any new position in its workspace.” https://lnkd.in/d-wie9E View in LinkedIn
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linkedin post 2019-12-12 04:45:57

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BRAIN-MACHINE INTERFACE. “Here we demonstrate that primates can learn to reach and grasp virtual objects by controlling a robot arm through a closed-loop brain–machine interface (BMIc) that uses multiple mathematical models to extract several motor parameters (i.e., hand position, velocity, gripping force, and the EMGs of multiple arm muscles) from the electrical activity of frontoparietal neuronal ensembles.” https://lnkd.in/d4WXCSr View in LinkedIn
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