Cuntai Guan

Abstract Estimating the extents of E/MEG source activities is vital for exploring brain dynamics at high spatiotemporal resolution. However, conventional ESI models exclusively overemphasize on the accurate estimation of the source locations and struggle to reconstruct the extents due to the ill-posed nature of the problem, which requires effective integration of biophysical constraints and proficiency in signal processing methods.

Abstract To obtain accurate brain source activities, the highly ill posed source imaging of electro and magneto encephalography (E/MEG) requires proficiency in incorporation of biophysiological constraints and signalprocessing techniques. Here, we propose a spatiotemporal-constrainted E/MEG source imaging framework-STARTS that can reconstruct the source in a fully automatic way.

Abstract Carbon quantum dots (CQDs) have versatile applications in luminescence, whereas identifying optimal synthesis conditions has been challenging due to numerous synthesis parameters and multiple desired outcomes, creating an enormous search space.