@inproceedings{4b0da9957c99466c827f3594e695fd0c,
title = "A 4{\texttimes}4 logarithmic spike timing encoding scheme for olfactory sensor applications",
abstract = "This paper presents a 4{\texttimes}4 logarithmic spike-timing encoding scheme used to translate the output of an integrated tin oxide gas sensor array into spike sequence, which is exploited to perform gas recognition. Hydrogen, Ethanol and Carbon monoxide were used to characterize the gas sensor array. The collected data were then used to test the proposed circuit for spike encoding and gas recognition. Simulation results illustrate that a particular analyte gas generates a unique spike pattern with certain spike ordering sequence, which is independent of the gas concentration. This unique spike sequence can thus be used to recognize different gases. In addition, the concentration information can also be extracted from the time-to-the-flrst spike in the sequence making it possible to perform not only gas/odor recognition but quantification as well.",
keywords = "Gas sensor array, Logarithmic spike timing, Spike sequence, Tin oxide",
author = "Bin Guo and Amine Bermak and Maxime Ambard and Dominique Martinez",
year = "2007",
doi = "10.1109/iscas.2007.378450",
language = "English",
isbn = "1424409209",
series = "Proceedings - IEEE International Symposium on Circuits and Systems",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "3554--3557",
booktitle = "2007 IEEE International Symposium on Circuits and Systems, ISCAS 2007",
address = "United States",
note = "2007 IEEE International Symposium on Circuits and Systems, ISCAS 2007 ; Conference date: 27-05-2007 Through 30-05-2007",
}