A newly developed artificial neural connection device allows new cortical sites, previously not associated with limb movements, to swiftly regain the control of a paralyzed hand.
A bilateral implant and brain-machine interface technology allowed a patient with a high spinal cord injury to control prosthetic arms with the power of thought.
Researchers have developed a sensor-instrumented glove for prosthetic hand controls which can sense pressure, temperature, and hydration using electronic chips sending sensory data via a wristwatch.
Researchers are developing a sophisticated prosthetic hand that can be directly controlled by the thoughts of the user.
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··4 min readA 3D printed hand which uses a computer interface to learn can replicate hand movements.
Having identified a new, simpler way to study neural activity, researchers believe they are on track to creating a compact, low power and potentially wireless brain sensor that could make thought-controlled prosthetic limbs ubiquitous.
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··5 min readUsing EEG and brain computer interface technology, researchers have created a robotic arm that can be controlled without brain implants.
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Findings allow for the development of an autonomously updating brain-machine interface, which is able to improve on its own by learning about its subject without additional programming. The system could help develop new robotic prosthetics, which can perform more naturally.
Polydactyly, a condition where one is born with an extra finger, has significant benefits when it comes to motor skill and control. fMRI neuroimaging reveals those with extra fingers are able to move the digits independently of other fingers. The findings could help with the development of new prosthetics that extend motor abilities.
A new prosthetic hand enables amputees to regain a subtle, close to natural, sense of touch.
A new MRI study reveals the brain retains neural 'fingerprints' of a missing hand, decades after amputation and regardless of whether the person experiences phantom limb sensations.
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··4 min readResearchers have developed an evolvable electrochemical transistor which has the ability to learn. The transistor is equipped with the ability for both long and short term memory. The new technology is a major step towards machine learning that utilizes organic electronics, the researchers report.
