Tag

Neurotech

All articles tagged with #neurotech

Biohybrid Brain Cells Learn Doom in a Petri Dish
technology4 days ago

Biohybrid Brain Cells Learn Doom in a Petri Dish

Australian startup Cortical Labs shows its CL1 device can steer a culture of living human brain cells to play the video game Doom by translating the game's visuals into electrical stimulation patterns; following an earlier Pong demo, the neurons were taught via the company’s API in under a week, but they still perform like novices and aren’t equivalent to silicon processors, though the work hints at future brain–machine interfaces and more complex robotic control.

"Helius Medical Technologies, Inc. Receives HCPCS Codes for PoNS® Mouthpiece and Controller"
healthcare2 years ago

"Helius Medical Technologies, Inc. Receives HCPCS Codes for PoNS® Mouthpiece and Controller"

Helius Medical Technologies, Inc. has obtained HCPCS Level II codes for its Portable Neuromodulation Stimulator (PoNS) mouthpiece and controller, a significant step towards reimbursement for the only U.S.-approved medical device for treating gait deficit due to multiple sclerosis. The company's recent stock issuances have extended its cash runway into the third quarter of 2024. The PoNS device, indicated for use in the U.S. as a short-term treatment for gait deficit due to mild-to-moderate MS symptoms, is also being pursued for stroke authorization.

Decoding Hand Gestures with Non-Invasive Brain Imaging
neurotech2 years ago

Decoding Hand Gestures with Non-Invasive Brain Imaging

Researchers have developed a non-invasive method to identify hand gestures through brain imaging using magnetoencephalography (MEG). The technique could contribute to the evolution of brain-computer interfaces, which could help individuals with physical challenges to control supportive devices using their minds. MEG measurements from only half of the brain regions sampled yielded nearly comparable results, suggesting future MEG helmets might require fewer sensors. The researchers successfully used non-invasive MEG to distinguish different hand gestures with over 85% accuracy, representing the most successful non-invasive single-hand gesture differentiation achieved to date.