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Proceedings Paper

Biologically inspired large scale chemical sensor arrays and embedded data processing
Author(s): S. Marco; A. Gutiérrez-Gálvez; A. Lansner; D. Martinez; J. P. Rospars; R. Beccherelli; A. Perera; T. Pearce; P. Vershure; K. Persaud
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Paper Abstract

Biological olfaction outperforms chemical instrumentation in specificity, response time, detection limit, coding capacity, time stability, robustness, size, power consumption, and portability. This biological function provides outstanding performance due, to a large extent, to the unique architecture of the olfactory pathway, which combines a high degree of redundancy, an efficient combinatorial coding along with unmatched chemical information processing mechanisms. The last decade has witnessed important advances in the understanding of the computational primitives underlying the functioning of the olfactory system. EU Funded Project NEUROCHEM (Bio-ICT-FET- 216916) has developed novel computing paradigms and biologically motivated artefacts for chemical sensing taking inspiration from the biological olfactory pathway. To demonstrate this approach, a biomimetic demonstrator has been built featuring a large scale sensor array (65K elements) in conducting polymer technology mimicking the olfactory receptor neuron layer, and abstracted biomimetic algorithms have been implemented in an embedded system that interfaces the chemical sensors. The embedded system integrates computational models of the main anatomic building blocks in the olfactory pathway: the olfactory bulb, and olfactory cortex in vertebrates (alternatively, antennal lobe and mushroom bodies in the insect). For implementation in the embedded processor an abstraction phase has been carried out in which their processing capabilities are captured by algorithmic solutions. Finally, the algorithmic models are tested with an odour robot with navigation capabilities in mixed chemical plumes

Paper Details

Date Published: 17 May 2013
PDF: 15 pages
Proc. SPIE 8763, Smart Sensors, Actuators, and MEMS VI, 876303 (17 May 2013); doi: 10.1117/12.2018402
Show Author Affiliations
S. Marco, Univ. de Barcelona (Spain)
Institute for Bioengineering of Catalonia (Spain)
A. Gutiérrez-Gálvez, Univ. de Barcelona (Spain)
Institute for Bioengineering of Catalonia (Spain)
A. Lansner, Kunliga Tekniska Högskolan (Sweden)
D. Martinez, Ctr. National de la Recherche Scientifique (France)
J. P. Rospars, Institut National de la Recherche Agronomique (France)
R. Beccherelli, Consiglio Nazionale delle Ricerche (Italy)
A. Perera, Univ. Politècnica de Catalunya (Spain)
T. Pearce, Univ. of Leicester (United Kingdom)
P. Vershure, Catalan Institute for Advanced Research Studies (Spain)
Univ. Pompeu Fabra (Spain)
K. Persaud, The Univ. of Manchester (United Kingdom)

Published in SPIE Proceedings Vol. 8763:
Smart Sensors, Actuators, and MEMS VI
Ulrich Schmid; José Luis Sánchez de Rojas Aldavero; Monika Leester-Schaedel, Editor(s)

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