The University of Chicago has a long tradition of innovative research in the neurosciences. K. C. Cole developed the voltage clamp here, Stephen Polyak and C. J. Herrick did pioneering work on the anatomy of the retina and brain, and Jack Cowan and Hugh Wilson were among the first to develop mathematical analyses of the dynamics of cortical neurons using non-linear dynamics. This tradition is continued by the PhD Program in Computational Neuroscience, which provides an interdepartmental and interdivisional focus for multidisciplinary training in neuroscience.
Computational neuroscience is a relatively new area of inquiry that is concerned with how components of animal and human nervous systems interact to produce behaviors. It relies on quantitative and modeling methods to understand the function of the nervous system, natural behaviors and cognitive processes, and to design human-made devices that duplicate behaviors. Course work in computational neuroscience can prepare students for research in neurobiology, psychology, or in the mathematical or engineering sciences. Graduates from this program move to traditional academic careers, to careers in biomedical research or engineering, or to opportunities in the corporate world.
The average time to PhD is 5.7 years. Since its inception in 2001, the Program in Computational Neuroscience has awarded 47 PhD degrees. Graduates from this program move to traditional academic careers, to careers in data science, biomedical research, engineering, or to opportunities in the corporate world.