ArticlePLoS computational biology2014
Heterogeneity and convergence of olfactory first-order neurons account for the high speed and sensitivity of second-order neurons.
Article in PLoS computational biology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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17 citing papers in PubMed, 52 citations in OpenAlex.
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- Stimulus duration encoding occurs early in the moth olfactory pathway.Communications biology · 2024Article
- Resolving different presynaptic activity patterns within single olfactory glomeruli of Xenopus laevis larvae.Scientific reports · 2021Article
- Effects of Multi-Component Backgrounds of Volatile Plant Compounds on Moth Pheromone Perception.Insects · 2021Article
- Adaptive temporal processing of odor stimuli.Cell and tissue research · 2021Review
- Adaptive integrate-and-fire model reproduces the dynamics of olfactory receptor neuron responses in a moth.Journal of the Royal Society, Interface · 2019Article
- Insect Odorscapes: From Plant Volatiles to Natural Olfactory Scenes.Frontiers in physiology · 2019Review
- Moth olfactory receptor neurons adjust their encoding efficiency to temporal statistics of pheromone fluctuations.PLoS computational biology · 2018Article
- Current Source Density Analysis of Electroantennogram Recordings: A Tool for Mapping the Olfactory Response in an Insect Antenna.Frontiers in cellular neuroscience · 2018Article
- Olfactory coding in the turbulent realm.PLoS computational biology · 2017Article
- Article
- Convergence, Divergence, and Reconvergence in a Feedforward Network Improves Neural Speed and Accuracy.Neuron · 2015Article
- Modeling the cellular mechanisms and olfactory input underlying the triphasic response of moth pheromone-sensitive projection neurons.PloS one · 2015Article
- Self-Organized Near-Zero-Lag Synchronization Induced by Spike-Timing Dependent Plasticity in Cortical Populations.PloS one · 2015Article
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Authors and funding
9 authors at 5 institutions in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
In the olfactory system of male moths, a specialized subset of neurons detects and processes the main component of the sex pheromone emitted by females. It is composed of several thousand first-order olfactory receptor neurons (ORNs), all expressing the same pheromone receptor, that contact synaptically a few tens of second-order projection neurons (PNs) within a single restricted brain area. The functional simplicity of this system makes it a favorable model for studying the factors that contribute to its exquisite sensitivity and speed. Sensory information--primarily the identity and intensity of the stimulus--is encoded as the firing rate of the action potentials, and possibly as the latency of the neuron response. We found that over all their dynamic range, PNs respond with a shorter latency and a higher firing rate than most ORNs. Modelling showed that the increased sensitivity of PNs can be explained by the ORN-to-PN convergent architecture alone, whereas their faster response also requires cell-to-cell heterogeneity of the ORN population. So, far from being detrimental to signal detection, the ORN heterogeneity is exploited by PNs, and results in two different schemes of population coding based either on the response of a few extreme neurons (latency) or on the average response of many (firing rate). Moreover, ORN-to-PN transformations are linear for latency and nonlinear for firing rate, suggesting that latency could be involved in concentration-invariant coding of the pheromone blend and that sensitivity at low concentrations is achieved at the expense of precise encoding at high concentrations.
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