Energy-efficient digital processing for neural action potentials

Abstract

This chapter discusses algorithm, architecture, and circuit techniques for efficient implementation of neural signal processing circuits. In particular, the focus is on spike sorting and compressive sampling for action potentials. The chapter begins with an introduction to spike sorting and compressive sampling, and the need for their implementation in modern-day neural recording systems. We then illustrate, through examples, some useful methods for algorithm selection and optimization. Digital design techniques that are beneficial in power and area reduction for neural signal processing DSPs are also discussed. Finally, we discuss the challenges and future directions in the area of biosignal processing.