Compressive Sensing of Neural Signals

This lecture covers the concept of compressive sensing applied to neural signals, focusing on the compression and neurostimulation of neural interfaces. It explains the process of compressing neural signals, detecting spikes, and reconstructing the original signal with fewer samples. The hardware aspects of spatial-domain compressive sensing are also discussed, including the design of N-channel IEEG recording systems. The lecture emphasizes the significant data reduction achieved through compressive sensing techniques and the challenges in efficient signal reconstruction.