Since theBRAIN Initiative's
launch in 2013, FAS Research Development has disseminated information via this newsletter about all of the funding opportunities related to the initiative. We send this newsletter to a targeted list of faculty, includingfaculty affiliatesof theCenter for Brain Science(CBS) and theMind Brain Behavior(MBB) Interfaculty Initiative. This project is being carried out in collaboration with the Center for Brain Science. Please feel free to forward this newsletter to interested colleagues. All Harvard University faculty and administrators may subscribe here, and recipients may unsubscribe at any time. For an archive of past newsletters, or for information about additional Research Development support (finding funding, proposal development resources, etc.), please visit the Research Development website.
Sponsor Deadline for Letters of Intent (requested): 30 days prior to the deadline
Sponsor Deadlines for Full Proposals: December 7, 2017; November 13, 2018
OSP Deadline: 5 business days prior to submission
Award Information: Application budgets are not limited but need to reflect the actual needs of the proposed project. The maximum project period is 3 years.
The purpose of this Brain Research through Advancing Innovative Neurotechnologies (BRAIN) Initiative funding opportunity announcement is to encourage applications that will develop and validate tools and resources to facilitate the detailed analysis of brain microconnectivity. Novel and augmented techniques are sought that will ultimately be broadly accessible to the neuroscience community for the interrogation of microconnectivity in healthy and diseased brains of model organisms and humans. Development of technologies that will significantly drive down the cost of connectomics would enable routine mapping of the microconnectivity on the same individuals that have been analyzed physiologically, or to compare normal and pathological tissues in substantial numbers of multiple individuals to assess variability. Advancements in both electron microscopy (EM) and super resolution light microscopic approaches are sought. Applications that propose to develop approaches that break through existing technical barriers to substantially improve current capabilities are highly encouraged. Proof-of-principle demonstrations and/or reference datasets enabling future development are welcome, as are improved approaches for automated segmentation and analysis strategies of neuronal structures in EM images.
