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UrduA new study has found high frequency propagating activity patterns in the motor cortex that contain details of upcoming movement — information that could lead to the development of better brain-machine interfaces.
Tag: Brain Machine Interface
Wearable Brain-Machine Interface Turns Intentions into Actions
.An international team of researchers led by Georgia Tech is combining soft scalp electronics and virtual reality in a brain-interface system, recently published in Advanced Science.
Bleak Cyborg Future from Brain-Computer Interfaces if We’re Not Careful
The most promising method to achieve real-world BCI applications is through electroencephalography, a method of monitoring the brain’s electrical activity. EEG-based BCIs will require a number of technological advances prior to widespread use, but more importantly, they will raise a variety of social, ethical, and legal concerns. Researchers conducted a review of modern commercial brain-computer interface devices and discuss the primary technological limitations and humanitarian concerns of these devices in APL Bioengineering.
Brain-Computer Interface Enables Johns Hopkins Study Participant to Touch and Feel Holographic Objects
As part of a larger study exploring neural multiplexing and new modes of perception enabled by brain-computer interface (BCI), Johns Hopkins researchers have demonstrated the ability to “feel” virtual objects by integrating neural stimulation in a mixed-reality environment.
National Science Foundation Honors Cedars-Sinai Neuroscientist
At 36, neuroscientist Tanuj Gulati, PhD, is still in the early phases of his career, but his contributions to the field of neurosciences have been nothing short of impactful. His research is so promising, in fact, that the National Science Foundation has awarded Gulati with the foundation’s top honor, the Faculty Early Career Development Program (CAREER) award.
Quadriplegic Patient Uses Brain Signals to Feed Himself with Two Advanced Prosthetic Arms
Almost two years into a research study conducted by Johns Hopkins APL and Johns Hopkins Medicine, a quadriplegic patient can now control two robotic arms with his brain — and can even feed himself.
Artificial intelligence identifies, locates seizures in real-time
Research from the McKelvey School of Engineering at Washington University in St. Louis has shown that understanding brain activity as a network instead of readings from an EEG allow for more accurate and efficient detection of seizures in real-time.
Operating at the Speed of Thought
APL Developing Noninvasive Brain-Computer Interfaces to Control Complex Systems When a cyber-warrior defends a complex computer network, or a pilot commands a team of unmanned vehicles, or a submarine officer interacts with intricate sensor systems, they are often limited by…