The award is the first federal grant received by the Real AI initiative, launched earlier this year at UCSB and co-directed by Jeong, Miolane, and Qin. Rather than limiting AI models to pairwise ...
Imagine hearing a familiar sound and expecting something to happen. Before the event arrives, the brain can predict what it will be, when it will occur and how likely it is. Yet computational models ...
The tool could help reveal how information transmission between areas relates to perception, cognition and behavior.
Dopaminergic signaling in the nucleus accumbens (NAc) is central to reward-based learning, but its relationship to brain-wide ...
Researchers have developed Foldinsight, a framework that uses AlphaFold2-predicted structures and molecular field descriptors ...
Human personality may be driven by a deeper tension between adapting to the social world and wandering through the inner one.
Before you chop wood, sharpen your axeFrom a 'person who consumes time' to a 'person who amplifies time'â–¼IntroductionHave you ...
A machine-learning model trained on recordings from nearly 3,000 Spanish-speaking adults can estimate a person’s age from speech alone, and the people it judged older than their birth certificates ...
A machine-learning speech clock reveals biological aging, brain atrophy, and dementia biomarkers from voice patterns.
The aim of this research was primarily to detect PD in its early stages based on abnormal behavior such as cognitive impairment, rapid changes in ...
Measuring how nerve fibers regrow after injury has long been one of the most tedious and error-prone tasks in neuroscience, ...
Meet the new faculty members bringing their expertise to our STEM community and driving discovery across a wide range of ...