Extramural funding provides major support for biomedical research in academia, and National Institutes of Health (NIH) grants often constitute direct evaluation criteria for promotions and tenure. Therefore, NIH budget trends influence long‐term scientific strategies and career decisions, as well as the progress of science itself. Our analysis of the last 37 years of NIH awards, however, reveals that the success rate of grant applications submitted for funding is negatively related to the total yearly amount of (inflation‐adjusted) NIH extramural expenditure. Instead, (...) as might be expected, the ratio between available funding and the number of submission directly predicts the probability of winning support in any given year. We purport that the considerable success rate variability can be parsimoniously explained by a proportional but delayed reaction of the number of applications to budget fluctuations. As a counterintuitive consequence, grant proposals conceived during lean periods might stand the best chance of success. BioEssays 29:933–936, 2007. © 2007 Wiley Periodicals, Inc. (shrink)

No one knows yet how to organize, in a simple yet predictive form, the knowledge concerning the anatomical, biophysical, and molecular properties of neurons that are accumulating in thousands of publications every year. The situation is not dissimilar to the state of Chemistry prior to Mendeleev's tabulation of the elements. We propose that the patterns of presence or absence of axons and dendrites within known anatomical parcels may serve as the key principle to define neuron types. Just as the positions (...) of the elements in the periodic table indicate their potential to combine into molecules, axonal and dendritic distributions provide the blueprint for network connectivity. Furthermore, among the features commonly employed to describe neurons, morphology is considerably robust to experimental conditions. At the same time, this core classification scheme is suitable for aggregating biochemical, physiological, and synaptic information. (shrink)