Processing of chemical sensor arrays with a biologically inspired model of olfactory coding
Raman, B.; Sun, P.A.; Gutierrez-Galvez, A.; Gutierrez-Osuna, R.
Neural Networks, IEEE Transactions on
Volume 17, Issue 4, July 2006 Page(s): 1015 - 1024
Digital Object Identifier 10.1109/TNN.2006.875975
Summary: This paper presents a computational model for chemical sensor arrays inspired by the first two stages in the olfactory pathway: distributed coding with olfactory receptor neurons and chemotopic convergence onto glomerular units. We propose a monotonic concentration-response model that maps conventional sensor-array inputs into a distributed activation pattern across a large population of neuroreceptors. Projection onto glomerular units in the olfactory bulb is then simulated with a self-organizing model of chemotopic convergence. The pattern recognition performance of the model is characterized using a database of odor patterns from an array of temperature modulated chemical sensors. The chemotopic code achieved by the proposed model is shown to improve the signal-to-noise ratio available at the sensor inputs while being consistent with results from neurobiology.
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