Figures and data

A. Ecosystem of funding mechanisms. Exploratory versions of each research track are designed to provide an enabling step, where needed, that goes through peer-review to larger, more elaborated awards. B. Tabulation of number of awards and total spending for 2014-2023, not including approved out years of funds yet to be expended.

NIH expenditures in systems and computational neuroscience for 10 years before and after launch of the BRAIN Initiative.
Baseline is calculated from NIH RCDC (Research, Condition, and Disease Categorization) search of “neurosciences research” [OR] “computational neuroscience” (Sys & Comp NS), excluding BRAIN Awards. BRAIN Initiative awards are tallied as all Sys & Comp NS within BRAIN and all awards within the BRAIN Circuits funding announcements.

Bibliometric and fiscal performance measures for each funding mechanism.

Accumulating performance measures (publications and citations) for awards in the elaborated version of each funding tract by year from award.

We report the total number, cost, and number of publications per funding stream for FY2014 through 2023.

The U19 awards are designated according to a branding name to represent the topic of study.
Osmonauts (Cracking the Olfactory Code); MouseV1 (Mouse Visual Cortex); Sensation (Coding, Sensation, Behavior); SCC (Spinal Control Circuits); MoC3 (Motor Control Circuits, Computation); MSCZ (Multiscale Circuits of Zebrafish); FlyLoops (Feedback Loops of Flies); aABC (almost Anything But Cortex), DOPE (Dopamine); L2L (Learning to Learn); Ripple (Hippocampal Ripple-Related Episodic Memory); brainCOGS (Brain Circuits of Cognitive Systems); OXT (Oxytocin Group); LightSPACE) (All optical read/write in the brain); IBL-U19 (International Brain Laboratory; TIM (Thalamus In the Middle); CIM (Causality in Motion}; BrainflowzZZ (Cerebral fluid flow and sleep); A-Team (Astrocyte modulation); USARhythms (Neurovasuclar rhythms). * Advanced to competing renewal as of 2023.


Word Cloud from titles and abstracts of all BRAIN BCP awards. As designed, Behavioral, Systems and Computational Neuroscience are well represented.

A: TMM projects with the highest number of cumulative GitHub Stars that produced highly popular computational tools in the form of normative theories, predictive models and computational algorithms. B: Highest rated GitHub repositories from TMM awards. These highly popular repositories are supported by multiple projects and programs. Snapshot from November 2024.


Publications (PubMed Identifier, PMID), per research track, from awards that have Altmetric scores above 600. * Manuscripts that attest to early translational impact


