A Low-power Analog Spike Detector For Extracellular Neural Recordings

Author

Christy L. Rogers
John G. Harris, Missouri University of Science and TechnologyFollow

Abstract

This paper discusses a low-power spike detection circuit, which reduces bandwidth from neural recordings by only outputting a short pulse at each neural spike time. Communication bandwidth is dramatically reduced to the number of spikes. The principal idea is to use two low pass filters, one with a higher cutoff frequency to remove high frequency noise and the other with a lower cutoff frequency to create a local average. When the difference between the signal and the local average rises above a threshold a spike is detected. The circuit uses subthreshold CMOS to keep the power consumption low enough for integration of many channels in an implanted device. This spike detection method shows promising results towards a robust and unsupervised algorithm that is lower power and more compact than existing spike detection methods. © 2004 IEEE.

Recommended Citation

C. L. Rogers and J. G. Harris, "A Low-power Analog Spike Detector For Extracellular Neural Recordings," 11th IEEE International Conference on Electronics Circuits and Systems Icecs 2004, pp. 290 - 293, article no. TA4.3, Institute of Electrical and Electronics Engineers, Dec 2004.

Department(s)

Electrical and Computer Engineering

Comments

National Science Foundation, Grant 66001-02-C-8022

Document Type

Article - Conference proceedings

Document Version

Citation

File Type

text

Language(s)

English

Rights

© 2025 Institute of Electrical and Electronics Engineers, All rights reserved.

Publication Date

01 Dec 2004