Odorant mixtures elicit less variable and faster responses than pure odorants.

ABSTRACT: 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 odorant-evoked activity patterns are more stable across concentrations and first-spike latencies of receptor neurons are shorter for mixtures than for pure odorants. Shorter first-spike latencies arise from the nonlinear dependence of binding rate on odorant concentration, commonly described by the Hill coefficient, while the more stable activity patterns result from the competition between different ligands for receptor sites. These results are consistent with observations from numerical simul

SUBMITTER: Chan HK 

PROVIDER: S-EPMC6287832 | biostudies-literature | 2018 Dec

REPOSITORIES: biostudies-literature