Publikation:

Segregation of unknown odors from mixtures based on stimulus onset asynchrony in honey bees

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2019

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Frontiers in Behavioral Neuroscience. 2019, 13, 155. eISSN 1662-5153. Available under: doi: 10.3389/fnbeh.2019.00155

Zusammenfassung

Animals use olfaction to search for distant objects. Unlike vision, where objects are spaced out, olfactory information mixes when it reaches olfactory organs. Therefore, efficient olfactory search requires segregating odors that are mixed with background odors. Animals can segregate known odors by detecting short differences in the arrival of mixed odorants (stimulus onset asynchrony). However, it is unclear whether animals can also use stimulus onset asynchrony to segregate odorants that they had no previous experience with and which have no innate or learned relevance (unknown odorants). Using behavioral experiments in honey bees, we here show that stimulus onset asynchrony also improves segregation of those unknown odorants. The stimulus onset asynchrony necessary to segregate unknown odorants is in the range of seconds, which is two orders of magnitude larger than the previously reported stimulus asynchrony sufficient for segregating known odorants. We propose that for unknown odorants, segregating odorant A from a mixture with B requires sensory adaptation to B.

Zusammenfassung in einer weiteren Sprache

Fachgebiet (DDC)
570 Biowissenschaften, Biologie

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Insects, Olfaction, Odor mixtures, blind source separation, figure-ground segregation, temporal stimulus cues

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ISO 690SEHDEV, Aarti, Paul SZYSZKA, 2019. Segregation of unknown odors from mixtures based on stimulus onset asynchrony in honey bees. In: Frontiers in Behavioral Neuroscience. 2019, 13, 155. eISSN 1662-5153. Available under: doi: 10.3389/fnbeh.2019.00155
BibTex
@article{Sehdev2019-07-12Segre-46340,
  year={2019},
  doi={10.3389/fnbeh.2019.00155},
  title={Segregation of unknown odors from mixtures based on stimulus onset asynchrony in honey bees},
  volume={13},
  journal={Frontiers in Behavioral Neuroscience},
  author={Sehdev, Aarti and Szyszka, Paul},
  note={Article Number: 155}
}
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