title: Trial-by-trial discrimination of three enantiomer pairs by neural ensembles in mammalian olfactory bulb.
abstract: Populations of output neurons in the mammalian olfactory bulb (OB) exhibit distinct, widespread spatial and temporal activation patterns when stimulated with odorants. However, questions remain as to how ensembles of mitral/tufted (M/T) neurons in the mammalian OB represent odorant information. In this report, the single-trial encoding limits of random ensembles of putative single- and multiunit M/T cells in the anesthetized rat OB during presentations of enantiomers of limonene, carvone, and 2-butanol are investigated using simultaneous multielectrode recording techniques. The results of these experiments are: the individual constituents of our recorded ensembles broadly represent information about the presented odorants, the ensemble single-trial response of small spatially distributed populations of M/T neurons can readily discriminate between six different odorants, and the most consistent odorant discrimination is attained when the ensemble consists of all available units and their responses are integrated over an entire breathing cycle. These results suggest that small differences in spike counts among the ensemble members become significant when taken within the context of the entire ensemble. This may explain how ensembles of broadly tuned OB neurons contribute to olfactory perception and may explain how small numbers of individual units receiving input from distinct olfactory receptor neurons can be combined to form a robust representation of odorants.
authors.affiliation: Neural Engineering Lab, Biomedical Engineering Department, University of Michigan, 2200 Bonisteel Blvd., Ann Arbor, MI 48109-2099, USA. mlehmkuh@umich.edu
authors.forename: M J
authors.initials: MJ
authors.lastname: Lehmkuhle
authors.forename: R A
authors.initials: RA
authors.lastname: Normann
authors.forename: E M
authors.initials: EM
authors.lastname: Maynard
mesh_terms: D000200:Action Potentials / Q000502:physiology; D000818:Animals; D000440:Butanols / Q000494:pharmacology; D003198:Computer Simulation; D000081005:Cyclohexane Monoterpenes; D053138:Cyclohexenes; D004193:Discrimination Learning / Q000187:drug effects / Q000502:physiology*; D000077222:Limonene; D008297:Male; D008959:Models, Neurological; D015233:Models, Statistical; D039821:Monoterpenes / Q000494:pharmacology; D009415:Nerve Net / Q000187:drug effects / Q000502:physiology*; D009475:Neurons, Afferent / Q000187:drug effects / Q000502:physiology*; D009812:Odorants; D009830:Olfactory Bulb / Q000187:drug effects / Q000502:physiology*; D051381:Rats; D017208:Rats, Wistar; D018035:Receptors, Odorant / Q000187:drug effects / Q000502:physiology*; D012903:Smell / Q000502:physiology*; D013729:Terpenes / Q000494:pharmacology
chemical_list: D000440:Butanols; D000081005:Cyclohexane Monoterpenes; D053138:Cyclohexenes; D039821:Monoterpenes; D018035:Receptors, Odorant; D013729:Terpenes; C043958:2-butanol; C006923:carvone; D000077222:Limonene