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Spike frequency adaptation facilitates the encoding of input gradient in insect olfactory projection neurons
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SYSNO ASEP 0567073 Document Type J - Journal Article R&D Document Type Journal Article Subsidiary J Článek ve WOS Title Spike frequency adaptation facilitates the encoding of input gradient in insect olfactory projection neurons Author(s) Lee, H. (JP)
Košťál, Lubomír (FGU-C) RID, ORCID, SAI
Kanzaki, R. (JP)
Kobayashi, R. (JP)Number of authors 4 Article number 104802 Source Title Biosystems. - : Elsevier - ISSN 0303-2647
Roč. 223, January (2023)Number of pages 8 s. Language eng - English Country IE - Ireland Keywords insect olfactory system ; spike frequency adaptation ; input rate-of-change ; sensory coding OECD category Statistics and probability R&D Projects GA20-10251S GA ČR - Czech Science Foundation (CSF) Method of publishing Open access Institutional support FGU-C - RVO:67985823 UT WOS 000899830200002 EID SCOPUS 85142673581 DOI https://doi.org/10.1016/j.biosystems.2022.104802 Annotation The olfactory system in insects has evolved to process the dynamic changes in the concentration of food odors or sex pheromones to localize the nutrients or conspecific mating partners. Experimental studies have suggested that projection neurons (PNs) in insects encode not only the stimulus intensity but also its rate-ofchange (input gradient). In this study, we aim to develop a simple computational model for a PN to understand the mechanism underlying the coding of the rate-of-change information. We show that the spike frequency adaptation is a potential key mechanism for reproducing the phasic response pattern of the PN in Drosophila. We also demonstrate that this adaptation mechanism enables the PN to encode the rate-of-change of the input firing rate. Finally, our model predicts that the PN exhibits the intensity-invariant response for the pulse and ramp odor stimulus. These results suggest that the developed model is useful for investigating the coding principle underlying olfactory information processing in insects. Workplace Institute of Physiology Contact Lucie Trajhanová, lucie.trajhanova@fgu.cas.cz, Tel.: 241 062 400 Year of Publishing 2024 Electronic address https://doi.org/10.1016/j.biosystems.2022.104802
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