Massachusetts researchers examine how growth and learning are subtly shaped among children whose mothers had Covid-19 while ...

Scientists have shown that brain connectivity patterns can predict mental functions across the entire brain. Each region has ...

Machine learning models using initial neuropsychological and neuropsychiatric clinical data accurately distinguished AD from bvFTD.

A global consortium of scientists has created the first and most detailed "developmental maps" of the mammalian brain (from ...

A deep learning model using brain scans and tests predicts alcohol use disorder risk in firefighters, enhancing mental health ...

Every cell in the body has the same DNA, but different cell types—such as muscle or brain cells—use different parts of it.

The Francis College of Engineering, Department of Electrical and Computer Engineering, invites you to attend a Doctoral Dissertation Proposal defense by Masoumeh Farhadi Nia on: "Machine Learning for ...

Researchers exploring risky decision-making in rats found that a specific reward-related neural circuit influences impulsivity and risk-taking in complex ways that depend on timing and biological sex.

A neural interface framework integrating L2 regularization with attention supervision paradigms achieves 96.87% classification accuracy in EEG ...

A large study from Massachusetts found that babies whose mothers had COVID-19 while pregnant were slightly more likely to ...

From sensory gyms to smart stackers, these toys help little ones explore, learn and play their way through every milestone.

New Japanese research reveals dark chocolate and berries can significantly boost brain function. Flavanols in these foods act ...