The application process for Fall 2016 matriculation is now open; please link to the College Net application portal via the Graduate School's web site. The deadline is December 1st, 2015 for applications and letters of recommendation. Please contact email@example.com if you have any questions.
The Neuroscience Graduate Program at Brown University offers advanced study for academic and research careers in the field of neuroscience. The Neuroscience Graduate Program was founded in 1986 and arose from one of the country's earliest undergraduate Neuroscience programs. In the more than two decades since its inception, the Graduate Program has gone through many phases of growth that have, at each step, expanded its interdisciplinary nature and propelled the quality of research and training to higher levels.
Today, the Brown Neuroscience Graduate Program promotes interdisciplinary research that crosses traditional discipline and department boundaries, while at the same time providing a strong foundation in the core concepts of neuroscience. Research in the program employs an impressive array of techniques and encompasses multiple levels of investigation from genes, molecules, and cells to neural networks, systems, and behavior. At all stages of instruction, the program integrates skills that are considered essential for successful, independent research careers such as critical thinking and reasoning, effective science writing and oral presentation, knowledge of the scientific review process, and ethics training.
Interested in computational or theoretical neuroscience? Learn more about Brown’s new initiative in Computation in Mind and Brain.
Click here for information about the sister graduate program, the Brown-NIH Graduate Partnerships Program (GPP).
|Featuring the Song Lab...|
Integration of cognitive processes with action
|Song Lab Website|
|We study how visual memory, attention, target selection, and non-conscious representations, all higher order processes, directly interact with visually-guided saccades and arm movements. Examining details of the movements can provide insights into dynamic internal representations and how movement-related processing across brain areas influence higher-order decision-making process.||