by Keyword: Non-parametric statistics
Auffarth, B., Gutierrez-Galvez, A., Marco, S., (2010). Relevance and LOCI of odorant features in the rat olfactory bulb: Statistical methods for understanding olfactory codes in glomerular images BIOSIGNALS 2010 - Proceedings of the 3rd International Conference on Bio-inpsired Systems and Signal Processing, Proceedings 
3rd International Conference on Bio-inspired Systems and Signal Processing, BIOSIGNALS 2010 (ed. Fred, A., Filipe, J., Gamboa, H.), Springer-Verlag (Valencia, Spain) , 37-44
The relationship between physicochemical properties of odor molecules and perceived odor quality is arguably one of the most important issues in olfaction and the rules governing this relationship remain unknown. Any given odor molecule will stimulate more than one type of receptor in the nose, perhaps hundreds, and this stimulation reflects itself in the neural code of the olfactory nervous system. We present a method to investigate neural coding at the glomerular level of the olfactory bulb, the first relay for olfactory processing in the brain. Our results give insights into localization of coding sites, relevance of odorant properties for information processing, and the size of coding zones.
JTD Keywords: Classification, Glomeruli, Non-parametric statistics, Odorants, Olfactory bulb, Olfactory coding, Property-activity relationship
