A 4x4 Logarithmic Spike Timing Encoding Scheme for Olfactory Sensor Applications

Bin Guo 1 Amine Bermak 2 Maxime Ambard 3 Dominique Martinez 3
1 ECE - Electronic and Computer Engineering Department [Hong Kong]
2 HKUST - Hong Kong University of Science and Technology
3 CORTEX - Neuromimetic intelligence
INRIA Lorraine, LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
Abstract : This paper presents a 4 times 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-first spike in the sequence making it possible to perform not only gas/odor recognition but quantification as well.
Type de document :
Communication dans un congrès
Liste complète des métadonnées
https://hal-univ-bourgogne.archives-ouvertes.fr/hal-01882068
Contributeur : Lead - Université de Bourgogne <>
Soumis le : mercredi 26 septembre 2018 - 15:21:49
Dernière modification le : jeudi 27 septembre 2018 - 01:16:31

Identifiants

  • HAL Id : hal-01882068, version 1

Collections

UNIV-BOURGOGNE | CNRS | UNIV-LORRAINE | LORIA | INRIA

Citation

Bin Guo, Amine Bermak, Maxime Ambard, Dominique Martinez. A 4x4 Logarithmic Spike Timing Encoding Scheme for Olfactory Sensor Applications. ISCAS, IEEE International Symposium on Circuits and Systems, May 2007, New Orleans, United States. ⟨hal-01882068⟩

Exporter

BibTeX TEI DC DCterms EndNote

Partager

Métriques

Consultations de la notice

67

Contact

Informations

CCSD