Recent Projects

This research aims to develop a power-area efficient NSP capable of preserving useful neural data information while achieving a high compression rate. We have analyzed and applied techniques from signal detection theory and pattern recognition to neural signals, resulting in reliable spike-sorting algorithms which are robust to neural noise.