A single temporal integration process links momentary perceptual biases to the generalization of learned skills, providing a unifying account of specificity versus flexibility in human learning.

A spate of new studies is revealing the lifelong impact of being marked as exceptional during childhood – and the results ...

Yet another senior AI researcher has set out on his own to explore AI approaches distinct from LLMs. Richard Sutton, the University ...

Summary: By pairing virtual reality (VR) eye-tracking headsets with advanced machine learning and Large Language Models (LLMs), the research team discovered that our eyes are driven by deep ...

The wiring and rewiring of the brain never ends. Neural pathways are constantly being reshaped as we interact with the world ...

Long COVID has debilitating effects but is inconsistently diagnosed because of subjective criteria, limited treatments, and variations in health care access. We analyzed electronic health records from ...

Researchers have found that the brain’s ability to hear and evaluate its own speech may matter more for learning new vocal ...

Dopamine signaling has become closely associated with reward prediction errors (RPEs)–the difference between expected and experienced value. Although not without controversy, the dopamine RPE ...

The single, deficit-based model of autism has recently come under scrutiny, as research revealed subgroups differing in symptoms, developmental trajectory, and genetic drivers of the disorder (Litman ...

Machine learning requires humans to manually label features while deep learning automatically learns features directly from raw data. ML uses traditional algorithms like decision tress, SVM, etc., ...