Abstract: Matrix-variable optimization is a generalization of vector-variable optimization and has been found to have many important applications. To reduce computation time and storage requirement, ...

This important study employs a closed-loop, theta-phase-specific optogenetic manipulation of medial septal parvalbumin-expressing neurons in rats and reports that disrupting theta-timescale ...

Abstract: We analyze the finite-block-length rate region of wireless systems aided by reconfigurable intelligent surfaces (RISs), assuming the interference is treated as noise. We consider three ...