Publikation:

Take time: odor coding capacity across sensory neurons increases over time in Drosophila

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2017

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Journal of Comparative Physiology A : Neuroethology, Sensory, Neural, and Behavioral Physiology. 2017, 203(12), pp. 959-972. ISSN 0340-7594. eISSN 1432-1351. Available under: doi: 10.1007/s00359-017-1209-1

Zusammenfassung

Due to the highly efficient olfactory code, olfactory sensory systems are able to reliably encode enormous numbers of olfactory stimuli. The olfactory code consists of combinatorial activation patterns across sensory neurons, thus its capacity exceeds the number of involved classes of sensory neurons by a manifold. Activation patterns are not static but vary over time, caused by the temporally complex response dynamics of the individual sensory neuron responses. We systematically analyzed the temporal dynamics of olfactory sensory neuron responses to a diverse set of odorants. We find that response dynamics depend on the combination of sensory neuron and odorant and that information about odorant identity can be extracted from the time course of the response. We also show that new response dynamics can arise when mixing two odorants. Our data show that temporal dynamics of odorant responses are able to significantly enhance the coding capacity of olfactory sensory systems.

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570 Biowissenschaften, Biologie

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ISO 690MÜNCH, Daniel, C. Giovanni GALIZIA, 2017. Take time: odor coding capacity across sensory neurons increases over time in Drosophila. In: Journal of Comparative Physiology A : Neuroethology, Sensory, Neural, and Behavioral Physiology. 2017, 203(12), pp. 959-972. ISSN 0340-7594. eISSN 1432-1351. Available under: doi: 10.1007/s00359-017-1209-1
BibTex
@article{Munch2017-12codin-40398,
  year={2017},
  doi={10.1007/s00359-017-1209-1},
  title={Take time: odor coding capacity across sensory neurons increases over time in Drosophila},
  number={12},
  volume={203},
  issn={0340-7594},
  journal={Journal of Comparative Physiology A : Neuroethology, Sensory, Neural, and Behavioral Physiology},
  pages={959--972},
  author={Münch, Daniel and Galizia, C. Giovanni}
}
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