This valuable study provides a practical computational framework for inferring latent neural states directly from calcium fluorescence recordings, bypassing the traditional need for a separate spike ...

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, ...

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 ...