Housed within the Carney Institute for Brain Science, the Nancy G. Zimmerman Center for Computational Brain Science fosters collaborations, catalyzed by cross-training, between Brown University faculty members and their research groups.

As research strives to understand how the brain computes and stores information, computational neuroscience is increasingly at the core of the inquiry. This growing field employs sophisticated mathematics, theoretical analysis and modeling to understand the function of neural circuits and how circuits generate behavior, whether beneficial or not.

Numerous research groups affiliated with the center conduct research that informs or depends on computational neuroscience. Areas of research focus include:

• Computational models of language and other complex cognitive processes
• Computational psychiatry/neurology, neurotechnology and neuromodulation
• Computational vision
• Neural computation, artificial intelligence and machine learning