We found a match
Your institution may have rights to this item. Sign in to continue.
- Title
Modeling the response of a population of olfactory receptor neurons to an odorant.
- Authors
Malin Sandström; Anders Lansner; Jeanette Hellgren-Kotaleski; Jean-Pierre Rospars
- Abstract
Abstract  We modeled the firing rate of populations of olfactory receptor neurons (ORNs) responding to an odorant at different concentrations. Two cases were considered: a population of ORNs that all express the same olfactory receptor (OR), and a population that expresses many different ORs. To take into account ORN variability, we replaced single parameter values in a biophysical ORN model with values drawn from statistical distributions, chosen to correspond to experimental data. For ORNs expressing the same OR, we found that the distributions of firing frequencies are Gaussian at all concentrations, with larger mean and standard deviation at higher concentrations. For a population expressing different ORs, the distribution of firing frequencies can be described as the superposition of a Gaussian distribution and a lognormal distribution. Distributions of maximum value and dynamic range of spiking frequencies in the simulated ORN population were similar to experimental results.
- Subjects
OLFACTORY receptors; NEURONS; MATHEMATICAL models; CASE studies; DATA analysis; GAUSSIAN processes; BIOPHYSICS
- Publication
Journal of Computational Neuroscience, 2009, Vol 27, Issue 3, p337
- ISSN
0929-5313
- Publication type
Article
- DOI
10.1007/s10827-009-0147-5