Spike detection for integrated circuits: Comparative study

Abstract

Transmission of large amount of data generated by sequential scanning of high density microelectrode arrays is a challenge. Detecting and transmitting only relevant data i.e. spikes and rejecting the noise reduces data bandwidth. In this paper, we discuss and evaluate CMOS implementable spike detection methods for low-power high-density electrode arrays used in neurophysiology. Neural data is simulated, spikes pre-emphasized and detection using comparator carried out. Our evaluation of a method is based on robustness of the algorithm, compactness of the circuit. © 2010 Springer-Verlag.