A new center is bringing together researchers from Princeton and Rutgers universities to apply computational modeling to the understanding of psychiatric diseases. The Rutgers-Princeton Center for Computational Cognitive Neuropsychiatry, which will open its doors this month, aims to improve the diagnosis of mental disorders, better predict their progression and eventually aid in developing treatments.
Alex will investigate the role of a brain area called the dorsal raphe nucleus (DRN), in both depression and feeding-related behaviors. The dorsal raphe is a remarkably complex structure, comprised of numerous cell types, and Dr. Nectow plans to functionally dissect the role of the DRN’s component cell types in the healthy and depressed states. His goal is to elucidate the neural circuit mechanism underlying depression, which may ultimately aid in the development of novel therapies.
The American Philosophical Society will present Professor Emeritus Charlie Gross with the 2016 Karl Spencer Lashley Award "in recognition of his pioneering studies of the neurophysiology of higher visual funcitons and the neural basis of face recognition and object perception." The award will be presented to Dr. Gross on November 11, 2016 at the American Philosophical Society annual Autumn General Meeting.
Kanaka Rajan is one of eight recipients of a Scholar Award in Understanding Human Cognition, awarded by the James S. McDonnell Foundation for her proposal "Integrative theory of memory and cognitive processes."
Five Princeton University faculty members have been selected as inaugural faculty scholars by the Howard Hughes Medical Institute, the Simons Foundation and the Bill & Melinda Gates Foundation.
Development of efficient brain imaging technologies combining a high resolution with a large field of depth is a key step for a better understanding of brain neurocircuits. Functional ultrasound imaging (fUSi) is an innovative modality based on microDoppler ultrasound that can record brain activity at good spatial resolution (up to 10µm pixel size) and in real-time.
Sam Wang — explorer of the brain and wrangler of political polls — made a prediction in 2012 that turned out to be wrong.