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
- Year
- 2011
- Citations
- 7
Abstract
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.
Keywords
Related papers
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
Artificial intelligence: a modern approach
1995
Fractional Differential Equations
Igor Podlubný
2025
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991