
VR applied to rehabilitation for stroke patients
VR-based rehabilitation programs are becoming an important complement to conventional motor therapy for stroke patients and individuals with neurodegenerative diseases.
VR-based rehabilitation programs are becoming an important complement to conventional motor therapy for stroke patients and individuals with neurodegenerative diseases.
Is it possible to read a person's mind by analyzing the electric signals from the brain? The answer may be much more complex than most people think.
More researchers and companies are moving into the brain-computer interfaces, yet major challenges remain, from user training to the reality of invasive brain implant procedures.
What's SSUP? The Sample, Simulate, Update cognitive model developed by MIT researchers learns to use tools like humans do.
Researchers have developed a chip that is powered wirelessly and can be surgically implanted to read neural signals and stimulate the brain with both light and electrical current.
Using 3D printing, researchers replicated an aneurysm in vitro and performed an endovascular repair procedure on the printed aneurysm.
Two ALS patients, implanted with a brain-computer interface via the jugular vein and without the need for open brain surgery, successfully controlled their personal computer through direct thought.
Researchers have developed a neural cell delivery microrobot that connects neural networks by accurately delivering neurons to the intended locations under the in vitro environment.
A bioceramic implant has proved to stimulate regeneration of natural skull bone so that even large cranial defects can be repaired in a way that has not been possible before.
The way humans interpret behavior of AI-endowed artificial agents, such as humanoid robots, depends on specific individual attitudes that can be detected from neural activity.
Researchers have applied these artificial intelligence techniques to autism diagnosis.
New study explores using wearable technologies to develop precision rehab interventions in brain injury survivors.
AI experts report that they have successfully addressed a major obstacle to increasing AI capabilities.
Researchers have developed an innovative training protocol that, utilizing immersive virtual reality (IVR), leads to real physical and cognitive benefits.
Researchers have shown that federated learning is successful in the context of brain imaging, by being able to analyze MRI scans of brain tumor patients and distinguish healthy brain tissue from cancerous regions.
Scientists used brain-computer-interface to train the brains of patients to reduce phantom-hand pain.
Researchers found that a game could help scientists understand how second language learners learn a new language, and could even help them learn it faster.
States that resemble sleep-like cycles in simulated neural networks quell the instability that comes with uninterrupted self-learning in artificial analogs of brains.
A study finds that people are aware of surprisingly limited color in their peripheral vision; much of our sense of a colorful visual world is likely constructed by our brain.
A new AI approach classifies a common type of brain tumour into low or high grades with almost 98% accuracy, researchers report.
Researchers have developed a system for integrating artificial chip-based 'neurons' with real neurons using QR-code-like patterns of light to facilitate communication.
Researchers have developed an AI algorithm that can detect and identify different types of brain injuries.
A researcher has developed ultra-light tattoo electrodes that are hardly noticeable on the skin and make long-term measurements of brain activity cheaper and easier.
Brain cancer patients in the coming years may not need to go under the knife to help doctors determine the best treatment for their tumors.
Next-generation brain implants with more than a thousand electrodes can survive for more than six years.
Engineers are working on developing soft, flexible neural implants that can gently conform to the brain’s contours and monitor activity over longer periods.
Scientists have developed an innovative new technique that uses artificial intelligence to better define the different sections of the brain in newborns during a magnetic resonance imaging (MRI) exam.
Scientists have developed a technique for visualising the structures of all the brain's blood vessels including any pathological changes.
The UNC School of Medicine lab of Jason Franz, PhD, created virtual reality experiments to show how a potentially portable and inexpensive test could reduce falls and related injuries in people with multiple sclerosis.