ArticleComputational and mathematical methods in medicine2013
Concentration-invariant odor representation in the olfactory system by presynaptic inhibition.
Article in Computational and mathematical methods in medicine, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed, 6 citations in OpenAlex.
- Order code in the olfactory system.bioRxiv : the preprint server for biology · 2025Article
- Short-Term Plasticity Regulates Both Divisive Normalization and Adaptive Responses inFrontiers in computational neuroscience · 2021Article
- Primacy coding facilitates effective odor discrimination when receptor sensitivities are tuned.PLoS computational biology · 2019Article
- Normalized Neural Representations of Complex Odors.PloS one · 2016Article
- Specific volatile compounds from mango elicit oviposition in gravid Bactrocera dorsalis females.Journal of chemical ecology · 2014Article
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Authors and funding
3 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The present study investigates a network model for implementing concentration-invariant representation for odors in the olfactory system. The network consists of olfactory receptor neurons, projection neurons, and inhibitory local neurons. Receptor neurons send excitatory inputs to projection neurons, which are modulated by the inhibitory inputs from local neurons. The modulation occurs at the presynaptic site from a receptor neuron to a projection one, leading to the operation of divisive normalization. The responses of local interneurons are determined by the total activities of olfactory receptor neurons. We find that with a proper parameter condition, the responses of projection neurons become effectively independent of the odor concentration. Simulation results confirm our theoretical analysis.
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