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Biologically inspired computation for chemical sensing

Contributo in Atti di convegno
Data di Pubblicazione:
2011
Abstract:
In this paper, we present how the achievements related to NEUROCHEM project (FP7, Bio-ICT, Grant number 216916) have increased the understanding of the olfactory system and helped to develop novel computing architectures and models for chemical sensing. We present the developed computational models of the olfactory pathway of vertebrates and insects to capture the mechanisms that underlie their chemical information processing abilities. To mimic the biological olfactory epithelium a large scale chemical sensor array has been developed.We also present a robot that demonstrates the chemical search task as a direct application of the computing paradigms extracted. © Selection and peer-review under responsibility of FET11 conference organizers and published by Elsevier B.V.
Tipologia CRIS:
04.01 Contributo in Atti di convegno
Keywords:
Biologically inspired; Chemical information; Chemical sensing; Computational model; Computing architecture; Computing paradigm; Gas sensing; Large-scale sensors; Olfactory coding; Olfactory receptor neurons; Olfactory systems; Search tasks; Biomimetics; Data processing; MESFET devices; Sensor arrays; Electrochemical sensors
Elenco autori:
Beccherelli, Romeo
Autori di Ateneo:
BECCHERELLI ROMEO
Link alla scheda completa:
https://iris.cnr.it/handle/20.500.14243/215928
Titolo del libro:
Proceedings of the 2nd European Future Technologies Conference and Exhibition 2011 (FET 11)
Pubblicato in:
PROCEDIA COMPUTER SCIENCE
Journal
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http://www.sciencedirect.com/science/article/pii/S1877050911006260
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