Odorant mixtures elicit less variable and faster responses than pure odorants

In natural environments, odors are typically mixtures of several different chemical compounds. However, the implications of mixtures for odor processing have not been fully investigated. We have extended a standard olfactory receptor model to mixtures and found through its mathematical analysis that...

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Detalles Bibliográficos
Autores principales: Chan, H.K., Hersperger, F., Marachlian, E., Smith, B.H., Locatelli, F., Szyszka, P., Nowotny, T.
Formato: JOUR
Materias:
2 butanone
2 hexenyl acetic acid
acetic acid ethyl ester
chemical compound
ethyl 2 methylbutanoic acid
methylbutyric acid
unclassified drug
fragrance
Apis mellifera
Article
concentration (parameter)
controlled study
Drosophila melanogaster
honeybee
mathematical analysis
mathematical model
nonhuman
odor
olfactory receptor
olfactory system
signal transduction
analysis
animal
bee
chemistry
drug mixture
insect
olfactory bulb
olfactory receptor neuron
physiology
theoretical model
Animals
Bees
Complex Mixtures
Insecta
Models, Theoretical
Odorants
Olfactory Bulb
Olfactory Receptor Neurons
Receptors, Odorant
Smell
Acceso en línea:http://hdl.handle.net/20.500.12110/paper_1553734X_v14_n12_p_Chan
Aporte de:
Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) de Universidad de Buenos Aires

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