Abstract
We present a low-bandwidth analog circuit for implementing an adaptive biphasic leaky integrate-and-fire neuron. This neuron circuit is targeted for signal compression in neural recording applications. Unlike other adaptive neuron circuits, this adaptive integrate-and-fire neuron supports signal reconstruction with known threshold voltages. Matlab simulations show promising bandwidth reduction comparing to an integrate-and-fire neuron without the adaptive feature. We quantify the circuit performance in terms of the tradeoff between signal reconstruction accuracy and bandwidth. ©2010 IEEE.
Recommended Citation
S. F. Yen and J. G. Harris, "An Adaptive Neuron Circuit For Signal Compression," Iscas 2010 2010 IEEE International Symposium on Circuits and Systems Nano Bio Circuit Fabrics and Systems, pp. 101 - 104, article no. 5537008, Institute of Electrical and Electronics Engineers, Aug 2010.
The definitive version is available at https://doi.org/10.1109/ISCAS.2010.5537008
Department(s)
Electrical and Computer Engineering
International Standard Book Number (ISBN)
978-142445308-5
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
31 Aug 2010
