Example-based explanations are widely used in the effort to improve the interpretability of
highly complex distributions. However, prototypes alone are rarely sufficient to represent the …

Quality control of MRI is essential for excluding problematic acquisitions and avoiding bias in
subsequent image processing and analysis. Visual inspection is subjective and impractical …

Higher brain function relies upon the ability to flexibly integrate information across specialized
communities of brain regions; however, it is unclear how this mechanism manifests over …

Psychiatric disorders are characterized by major fluctuations in psychological function over
the course of weeks and months, but the dynamic characteristics of brain function over this …

The human brain integrates diverse cognitive processes into a coherent whole, shifting
fluidly as a function of changing environmental demands. Despite recent progress, the …

The large-scale sharing of task-based functional neuroimaging data has the potential to
allow novel insights into the organization of mental function in the brain, but the field of …

We propose three new robust aggregation rules for distributed synchronous Stochastic
Gradient Descent~(SGD) under a general Byzantine failure model. The attackers can arbitrarily …

Recently, new defense techniques have been developed to tolerate Byzantine failures for
distributed machine learning. The Byzantine model captures workers that behave arbitrarily, …

Performance metrics for binary classification are designed to capture tradeoffs between four
fundamental population quantities: true positives, false positives, true negatives and false …

Little is currently known about the coordination of neural activity over longitudinal timescales
and how these changes relate to behavior. To investigate this issue, we used resting-state …