Adaptive integrate-and-fire model reproduces the dynamics of olfactory receptor neuron responses in a moth. Issue 157 (30th August 2019)

• Record Type: Journal Article
• Authors: Levakova, Marie; Kostal, Lubomir; Monsempès, Christelle; Lucas, Philippe; Kobayashi, Ryota
• Is Part Of: Journal of the Royal Society interface. Volume 16:Issue 157(2019)
• Publication Date: 2019-08-30
• Subjects: olfactory receptor neuron -- integrate-and-fire model -- adaptive threshold; Physical sciences -- Research -- Periodicals; Life sciences -- Research -- Periodicals; Interdisciplinary research -- Periodicals; 570.5
• DOI: 10.1098/rsif.2019.0246
• Languages: English
• ISSNs: 1742-5689

Abstract

Abstract : In order to understand how olfactory stimuli are encoded and processed in the brain, it is important to build a computational model for olfactory receptor neurons (ORNs). Here, we present a simple and reliable mathematical model of a moth ORN generating spikes. The model incorporates a simplified description of the chemical kinetics leading to olfactory receptor activation and action potential generation. We show that an adaptive spike threshold regulated by prior spike history is an effective mechanism for reproducing the typical phasic–tonic time course of ORN responses. Our model reproduces the response dynamics of individual neurons to a fluctuating stimulus that approximates odorant fluctuations in nature. The parameters of the spike threshold are essential for reproducing the response heterogeneity in ORNs. The model provides a valuable tool for efficient simulations of olfactory circuits.