Abstract
There has been significant interest in encoding information into asynchronous timing events or spikes using models of biological neurons. It has been shown that these neurons can act as lossless encoders and software algorithms can reconstruct the encoded information. We present here, a real time implementation of a reconstruction algorithm on a TI TMS320C6713 DSK board. This implementation reconstructs the signal from a spike train which was encoded by a fabricated neuron chip. A signal to error ratio of 32 dB with an average firing rate of 8 KHz is obtained. We discuss the practical implementation, challenges and possible future directions. ©2008 IEEE.
Recommended Citation
J. G. Harris et al., "Real Time Signal Reconstruction From Spikes On A Digital Signal Processor," Proceedings IEEE International Symposium on Circuits and Systems, pp. 1060 - 1063, article no. 4541604, Institute of Electrical and Electronics Engineers, Sep 2008.
The definitive version is available at https://doi.org/10.1109/ISCAS.2008.4541604
Department(s)
Electrical and Computer Engineering
International Standard Book Number (ISBN)
978-142441684-4
International Standard Serial Number (ISSN)
0271-4310
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
19 Sep 2008
