To enable more accurate estimation of connectivity, we propose a data-driven and theoretically grounded framework for optimally designing perturbation inputs, based on formulating the neural model as ...

This study uses a Bayesian framework to characterize latent brain state dynamics associated with memory encoding and performance in children, as measured with functional magnetic resonance imaging.

Abstract: The matrix Bingham distribution is a measure on the set of low-dimensional frames that has found applications in mixture models, shape analysis, statistical signal processing, and control.

Abstract: Maritime ship detection is an essential prerequisite for targeting key objectives and safeguarding the security of territorial waters. The all-day and all-weather operational capability of ...