Spike frequency adaptation facilitates the encoding of input gradient in insect olfactory projection neurons
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985823%3A_____%2F23%3A00567073" target="_blank" >RIV/67985823:_____/23:00567073 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1016/j.biosystems.2022.104802" target="_blank" >https://doi.org/10.1016/j.biosystems.2022.104802</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.biosystems.2022.104802" target="_blank" >10.1016/j.biosystems.2022.104802</a>
Alternative languages
Result language
angličtina
Original language name
Spike frequency adaptation facilitates the encoding of input gradient in insect olfactory projection neurons
Original language description
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.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
—
OECD FORD branch
10103 - Statistics and probability
Result continuities
Project
<a href="/en/project/GA20-10251S" target="_blank" >GA20-10251S: Optimality of neuronal communication: an information-theoretic perspective</a><br>
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Biosystems
ISSN
0303-2647
e-ISSN
1872-8324
Volume of the periodical
223
Issue of the periodical within the volume
January
Country of publishing house
IE - IRELAND
Number of pages
8
Pages from-to
104802
UT code for WoS article
000899830200002
EID of the result in the Scopus database
2-s2.0-85142673581