Funding Opportunities

Computational neuroscience provides a theoretical foundation and a rich set of technical approaches for understanding the principles and dynamics of the nervous system at all levels. Building on the theory, methods, and findings of computer science, neuroscience, biology, the mathematical and physical sciences, the social and behavioral sciences, engineering, and other fields, computational neuroscience embraces a wide range of innovative approaches to accelerate the understanding of nervous system structure and function, mechanisms underlying nervous system disorders, and computational strategies used by the nervous system. Furthering these advances, collaboration plays a pivotal role. Collaborative research enables investigators with complementary experience and training, and deep understanding of multiple scholarly fields, to tackle otherwise intractable scientific and technical challenges. Close collaborations enable dynamic development and refinement of models, theories, and analytical or experimental methods, and in-depth interdisciplinary exchange and training. Sharing of data, models, software, and other resources facilitates collaboration at a larger scale, enabling integration and re-use of data and code, development and training of models, rigorous evaluation of models and methods, and alignment of efforts across research communities. International collaborations offer unique opportunities to further expand research perspectives and partnerships, and to develop a community of globally engaged scientists and engineers. Following from the above motivations, two classes of proposals will be considered in response to this solicitation: Research Proposals describing collaborative research projects, and Data Sharing Proposals to support sharing of data and other resources. Domestic and international projects will be considered.