PMID: 9652076Jul 4, 1998Paper

An olfactory neuronal network for vapor recognition in an artificial nose

Biological cybernetics
J WhiteJ S Kauer

Abstract

Odorant sensitivity and discrimination in the olfactory system appear to involve extensive neural processing of the primary sensory inputs from the olfactory epithelium. To test formally the functional consequences of such processing, we implemented in an artificial chemosensing system a new analytical approach that is based directly on neural circuits of the vertebrate olfactory system. An array of fiber-optic chemosensors, constructed with response properties similar to those of olfactory sensory neurons, provide time-varying inputs to a computer simulation of the olfactory bulb (OB). The OB simulation produces spatiotemporal patterns of neuronal firing that vary with vapor type. These patterns are then recognized by a delay line neural network (DLNN). In the final output of these two processing steps, vapor identity is encoded by the spatial patterning of activity across units in the DLNN, and vapor intensity is encoded by response latency. The OB-DLNN combination thus separates identity and intensity information into two distinct codes carried by the same output units, enabling discrimination among organic vapors over a range of input signal intensities. In addition to providing a well-defined system for investigating olfac...Continue Reading

Citations

Dec 2, 2005·Biological cybernetics·Thomas NowotnyMikhail I Rabinovich
Apr 13, 1999·Trends in Neurosciences·T K AlkasabJ S Kauer
Jul 4, 1998·Trends in Biotechnology·T A DickinsonD R Walt
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Sep 12, 2015·Neural Networks : the Official Journal of the International Neural Network Society·Sankho Turjo SarkarAmod Kumar
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Oct 1, 2005·Analytical Chemistry·Sandra Bencic-Nagale, David R Walt

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