Neurotechnology Research

In a pioneering study, researchers designed a wireless brain-spine interface enabling a paralyzed man to walk naturally again. The 'digital bridge' comprises two electronic implants — one on the brain and another on the spinal cord — that decode brain signals and stimulate the spinal cord to activate leg muscles.
Robotic voices with a charismatic tone can positively influence the creative performance of teams. Researchers designed a social robot's speech to sound charismatic, employing a confident, passionate tone and tested its effects on students during a creativity task.
A new study reveals amputees can feel temperature in their phantom limbs using thermal electrodes placed on their residual arms. Participants in the study reported feeling heat or cold, and discerning material types, such as copper, plastic, or glass.
Researchers have developed an artificial electronic skin (e-skin) capable of converting sensory inputs into electrical signals that the brain can interpret. This skin-like material incorporates soft integrated circuits and boasts a variety of sensory abilities, including temperature and pressure detection. This advance could facilitate the creation of prosthetic limbs with sensory feedback or advanced medical devices.

Brain Computer Interface news involves science using BCI, neural interfaces, brain implant technologies, EEG control of robotics, neurobotics and more.

Retrofitting wireless earbuds to detect neural signals and relaying the data back to smartphones via Bluetooth, researchers say the new earEEG system could have multiple applications, including health monitoring.

The latest science news involving neural prosthetics, arm and leg prostheses, bionics, biomechanical engineering, BCIs, robotics, EEG control of prosthetics, visual aids, auditory aids for hearing and more is here. You can also

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This shows a brain and a smart phone.
Researchers are developing a machine learning model aimed at early detection of Alzheimer's dementia. This model, potentially accessible via smartphones, can distinguish between Alzheimer's patients and healthy individuals with 70-75% accuracy. By focusing on speech patterns rather than content, the tool could offer invaluable early indicators, potentially initiating earlier treatment and slowing disease progression.
This shows people with headsets on.
A new study provides a fresh understanding of how the brain processes predictions, a crucial component of how we perceive and interact with the world. Researchers used non-invasive electrical stimulation on participants’ brains to observe its effects on predicting emotional facial expressions. The results highlighted the potential to modulate predictive processing and its implications for conditions like depression, opening doors to future research and therapeutic interventions.
Researchers have developed a wearable interface called EchoSpeech, which recognizes silent speech by tracking lip and mouth movements through acoustic-sensing and AI. The device requires minimal user training and recognizes up to 31 unvocalized commands. The system could be used to give voice to those who are unable to vocalize sound or communicate silently with others.