Maryam Shanechi, the Sawchuk Chair in Electrical and Computer Engineering and founding director of the USC Center for Neurotechnology, and her team have developed a new AI algorithm that can separate ...

BU neuroscientist and collaborators have developed a multidisciplinary approach using a new microscope, artificial intelligence algorithm, and voltage indicators to better measure brain activity. When ...

With $500 million in funding and a reported $2.5 billion valuation, Flourish wants to reinvent AI by putting real neurons ...

Scientists have developed a new AI algorithm that can separate brain patterns related to a particular behavior. This work promises to improve brain-computer interfaces and aid with the discovery of ...

Researchers from Mass General Brigham identified therapeutic targets that may optimize symptom-specific treatment for Parkinson’s disease. Brain circuits associated with symptom improvements of tremor ...

The rise of artificial intelligence (AI) deep learning algorithms is helping to accelerate brain-computer interfaces (BCIs). Published in this month’s Nature Neuroscience is new research that shows ...

Deep brain stimulation (DBS) is an established treatment option for patients suffering from Parkinson's disease. In a neurosurgical procedure two electrodes are implanted in the brain to permanently ...

Scientists have developed a new machine learning method that reveals surprisingly consistent intrinsic brain patterns across different subjects by disentangling these patterns from the effect of ...

In a busy room full of talking people, most of us can still pick out one voice to focus on. This common yet complex task—known as the "cocktail party effect"—relies on the brain's incredible ability ...

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