linkedin post 2020-01-09 04:58:24

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FIRST BRAINET. "Building an organic computing device with multiple interconnected brains. Recently, we proposed that Brainets, i.e. networks formed by multiple animal brains, cooperating and exchanging information in real time through direct brain-to-brain interfaces, could provide the core of a new type of computing device: an organic computer. Here, we describe the first experimental demonstration of such a Brainet, built by interconnecting four adult rat brains." http://www.nature.com/articles/srep11869 View in LinkedIn
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linkedin post 2020-01-09 05:04:52

linkedin post 2020-01-09 05:04:52

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BRAIN BOTNET. "Today, researchers at Duke University announced they have done nearly that, wiring animal brains together so they could collaborate on simple tasks. Network monkeys displayed motor skills, and networked rats performed computations.” http://www.wired.com/2015/07/science-can-learn-wiring-monkey-brains-together/ View in LinkedIn
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linkedin post 2020-01-09 05:10:03

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NICOLELIS on TED explaining his experiment. "And a brain-machine interface is not rocket science, it's just brain research. So what I need to say is that no Turing machine, no computer can predict what a brain net will do. So we will absorb technology as part of us. Technology will never absorb us. It's simply impossible." https://lnkd.in/d3iVSZY View in LinkedIn
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linkedin post 2020-01-10 06:06:49

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MONKEY TO ROBOT. "Miguel Ângelo Laporta Nicolelis, M.D., P.hD...is a Brazilian scientist, physician and lobbyist, best known for his pioneering work in "reading monkey thought". He and his colleagues at Duke University implanted electrode arrays into a monkey's brain that were able to detect the monkey's motor intent and thus able to control reaching and grasping movements performed by a robotic arm." https://en.m.wikipedia.org/wiki/Miguel_Nicolelis View in LinkedIn
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linkedin post 2020-01-10 06:09:05

linkedin post 2020-01-10 06:09:05

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MONEY-ROBOT 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” http://journals.plos.org/plosbiology/article?id=10.1371/journal.pbio.0000042 View in LinkedIn
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