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Biologically Inspired Computation for Chemical Sensing

Jordi Fonollosa, A. Gutiérrez-Gálvez, Anders Lansner, Dani Martínez, Jean-Pierre Rospars, Romeo Beccherelli, Tim Pearce, P. Vershure, Krishna Persaud, Santiago Marco

发表年份
2011
引用次数
7

摘要

In this paper, we present how the achievements related to NEUROCHEM project (FP7, Bio-ICT, Grant number 216916) have
\nincreased 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
\nchemical 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.

关键词

Computer scienceTask (project management)Olfactory systemOlfactionRobotComputationHuman–computer interactionArtificial intelligenceNeuroscienceBiology

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