Biologically inspired large scale chemical sensor arrays and embedded data processing

S. Marco; A. Gutiérrez-Gálvez; A. Lansner; D. Martinez; J. P. Rospars; R. Beccherelli; A. Perera; T. Pearce; P. Vershure; K. Persaud

doi:10.1117/12.2018402

17 May 2013 Biologically inspired large scale chemical sensor arrays and embedded data processing

S. Marco, A. Gutiérrez-Gálvez, A. Lansner, D. Martinez, J. P. Rospars, R. Beccherelli, A. Perera, T. Pearce, P. Vershure, K. Persaud

Author Affiliations +

Proceedings Volume 8763, Smart Sensors, Actuators, and MEMS VI; 876303 (2013) https://doi.org/10.1117/12.2018402
Event: SPIE Microtechnologies, 2013, Grenoble, France

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

Citation Download Citation

S. Marco, A. Gutiérrez-Gálvez, A. Lansner, D. Martinez, J. P. Rospars, R. Beccherelli, A. Perera, T. Pearce, P. Vershure, and K. Persaud "Biologically inspired large scale chemical sensor arrays and embedded data processing", Proc. SPIE 8763, Smart Sensors, Actuators, and MEMS VI, 876303 (17 May 2013); https://doi.org/10.1117/12.2018402

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available