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Biologically inspired large scale chemical sensor arrays and embedded data processing
- Marco, S. (author)
- Gutiérrez-Gálvez, A. (author)
-
- Lansner, Anders (author)
- KTH,Beräkningsbiologi, CB
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- Martinez, D. (author)
- Rospars, J. P. (author)
- Beccherelli, R. (author)
- Perera, A. (author)
- Pearce, T. (author)
- Vershure, P. (author)
- Persaud, K. (author)
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- (creator_code:org_t)
- SPIE - International Society for Optical Engineering, 2013
- 2013
- English.
- In: Smart Sensors, Actuators, And Mems VI. - : SPIE - International Society for Optical Engineering. - 9780819495600 ; , s. 876303-
- Conference paper (peer-reviewed)
Abstract
Subject headings
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- 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.
Subject headings
- NATURVETENSKAP -- Data- och informationsvetenskap -- Bioinformatik (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Bioinformatics (hsv//eng)
Keyword
- Antennal lobe
- Artificial olfaction
- Chemical sensor arrays
- Computational neuroscience models
- Conducting polymers
- Odor robot
- Olfactory bulb
- Plume tracking
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- ref (subject category)
- kon (subject category)
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- Perera, A.
- Pearce, T.
- Vershure, P.
- Persaud, K.
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