The Center for Computational Neuroscience and Neural Technology (CompNet) was established to foster basic research in systems and computational neuroscience, and to promote technology development that makes use of or augments such basic research.
Given the center’s youth, the clearest example of CompNet-enabled research to date is that supported by the Computational Neuroscience Training Grant (PI: Mountain), which was the most highly rated proposal in response to last year’s call for proposals from the National Institutes of Health. This grant supports both undergraduate and graduate student research opportunities. Most of the undergraduates supported by the grant come from the undergraduate Neuroscience program; each supported student is paid to work in a laboratory for their junior and senior years on a project that combines experimental and computational approaches. The graduate portion of the training grant currently supports second- and third-year graduate students from Biomedical Engineering and the Graduate Program in Neuroscience to conduct dissertation research under the co-supervision of two investigators, one an experimentalist and one with computational skills.
A broad view of CompNet research can be seen through the following categories: