Odor Discrimination by Similarity Measures of Abstract Odor Factor Maps from Electronic Noses

Mix-to-mimic odor synthesis for electronic noses

D O Arrays of chemical sensors, known as electronic noses, yield a unique pattern for a given mixture of odors. Recently, there has been increasing nterest in trying to mix odors such as to generate a desired response in the electronic nose. For the time being, this intriguing problem had been ackled only experimentally with the aid of specific apparatus. Here, we present an algorithmic solutio...

Learned Odor Discrimination in Drosophila without Combinatorial Odor Maps in the Antennal Lobe

A unifying feature of mammalian and insect olfactory systems is that olfactory sensory neurons (OSNs) expressing the same unique odorant-receptor gene converge onto the same glomeruli in the brain [1-7]. Most odorants activate a combination of receptors and thus distinct patterns of glomeruli, forming a proposed combinatorial spatial code that could support discrimination between a large number...

Odor perception is dynamic: consequences for interpretation of odor maps.

The concept of odor maps in the olfactory system can imply a precise one-to-one mapping between the physicochemical stimulus, the central sensory representation of that stimulus, and the olfactory perception. However, in humans and animals, experience plays a major role in qualitative perception of odors. This suggests that either odor maps and coding in the olfactory bulb (OB) are highly dynam...

Odor to sensor space transformations in biological and artificial noses

Odor discrimination using adaptive resonance theory

Ž . The paper presents two neural networks based on the adaptive resonance theory ART for the recognition of several odors subjected Ž . to drift. The neural networks developed by Grossberg supervised and unsupervised have been used for two different drift behaviors. One in which the clusters end up to overlap each other and the other when they do not. The latter case is solved by unsupervision...