Month: September 2022

LEARNING MATH. “Research already shows that brain stimulation from external electrodes can help people learn math faster.” http://www.businessinsider.com/brain-implants-will-give-us-superpowers-2014-4 View in LinkedIn

IQ BOOST. “In monkeys, we’ve done better, using a brain implant to “boost monkey IQ” in pattern-matching tests.” https://lnkd.in/eFd9Fdg View in LinkedIn

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

EARLY ADOPTER. "The Defense Advanced Research Projects Agency (DARPA) has funded innovative scientific research and technology developments in the field of brain–computer interfaces (BCI) since the 1970s." http://www.sciencedirect.com/science/article/pii/S0165027014002702 View in LinkedIn

IBM PREDICTIONS. "By 2016, consumers will have access to gadgets that 'read their minds', allowing them to call friends and move computer cursors, according to IBM.” https://lnkd.in/d93j7cx View in LinkedIn

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

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

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