Biologically Inspired Computation for Chemical Sensing

被引：7

作者：

Fonollosa, J. ^{[1
]}

Gutierrez-Galvez, A. ^{[1
]}

Lansner, A. ^{[2
]}

Martinez, D. ^{[3
]}

Rospars, J. P. ^{[4
]}

Beccherelli, R. ^{[5
]}

Perera, A. ^{[6
]}

Pearce, T. ^{[7
]}

Vershure, P. ^{[8
]}

Persaud, K. ^{[9
]}

Marco, S. ^{[1
]}

机构：

[1] Univ Barcelona, E-08028 Barcelona, Spain

[2] Kungliga Tekniska Hogskolan, Stockholm, Sweden

[3] CNRS, Nancy, France

[4] INRA, Paris, France

[5] CNR, Rome, Italy

[6] Univ Politecn Cataluna, Barcelona, Spain

[7] Univ Leicester, Leicester, Leics, England

[8] Univ Pompeu Fabra, Barcelona, Spain

[9] Univ Manchester, Manchester, Lancs, England

来源：

PROCEEDINGS OF THE 2ND EUROPEAN FUTURE TECHNOLOGIES CONFERENCE AND EXHIBITION 2011 (FET 11) | 2011年 / 7卷

关键词：

Olfactory coding; olfactory receptor neurons; biomimetic artefacts; large scale sensor array; gas sensing; odour tracking; odour source localization;

D O I：

10.1016/j.procs.2011.09.066

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

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. (C) Selection and peer-review under responsibility of FET11 conference organizers and published by Elsevier B.V.

引用

页码：226 / +

页数：2