Seven Princeton researchers receive NIH BRAIN Initiative awards

Oct. 24, 2017

Three Princeton University projects are among the 121 selected by the National Institutes of Health to receive an overall $219 million in funds related to the federal Brain Research through Advancing Innovative Neurotechnologies (BRAIN) Initiative. Launched in 2013, the BRAIN Initiative is a large-scale effort to push the boundaries of neuroscience research and equip scientists with insights necessary for treating a wide variety of brain disorders such as Alzheimer’s disease, schizophrenia, autism, epilepsy and traumatic brain injury.

$15.4 million grant funds the next five years of ongoing investigations into short-term “working” memory using the latest techniques, including virtual reality, automated behavioral training, cellular-resolution imaging in rodents, manipulation of neural activity in specific brain areas and cell types, and automated anatomical reconstruction. The effort will be led by Princeton researchers Carlos Brody, the Wilbur H. Gantz III ’59 Professor in Neuroscience and a professor of molecular biologyJonathan Pillow, an associate professor of psychology and the Princeton Neuroscience Institute (PNI)Sebastian Seung, the Evnin Professor in Neuroscience and a professor of computer scienceDavid Tank, the Henry L. Hillman Professor in Molecular Biology and co-director of PNI; Samuel Wang, a professor of molecular biology and PNI; and Ilana Witten, an assistant professor of psychology and PNI.

In addition, two projects from PNI postdoctoral research fellows were funded by the (BRAIN) Initiative Cell Census Network (BICCN), a $250 million effort to discover and catalog the brain’s “parts list.” Stephen Keeley received three years of funding to extend existing statistical tools to new calcium imaging recording techniques and develop a suite of models and analyses to characterize high-dimensional neural activity in experimental settings. Thomas Zhihao Luo received funding to use optogenetic perturbation and electrophysiological single-neuron recording to characterize interactions between brain areas involved in decision-making.