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Behavioural correlates of combinatorial versus temporal features of odour codes

Author

Listed:
  • Debajit Saha

    (Washington University in St Louis)

  • Chao Li

    (Washington University in St Louis)

  • Steven Peterson

    (Washington University in St Louis)

  • William Padovano

    (Washington University in St Louis)

  • Nalin Katta

    (Washington University in St Louis)

  • Baranidharan Raman

    (Washington University in St Louis)

Abstract

Most sensory stimuli evoke spiking responses that are distributed across neurons and are temporally structured. Whether the temporal structure of ensemble activity is modulated to facilitate different neural computations is not known. Here, we investigated this issue in the insect olfactory system. We found that an odourant can generate synchronous or asynchronous spiking activity across a neural ensemble in the antennal lobe circuit depending on its relative novelty with respect to a preceding stimulus. Regardless of variations in temporal spiking patterns, the activated combinations of neurons robustly represented stimulus identity. Consistent with this interpretation, locusts reliably recognized both solitary and sequential introductions of trained odourants in a quantitative behavioural assay. However, predictable behavioural responses across locusts were observed only to novel stimuli that evoked synchronized spiking patterns across neural ensembles. Hence, our results indicate that the combinatorial ensemble response encodes for stimulus identity, whereas the temporal structure of the ensemble response selectively emphasizes novel stimuli.

Suggested Citation

  • Debajit Saha & Chao Li & Steven Peterson & William Padovano & Nalin Katta & Baranidharan Raman, 2015. "Behavioural correlates of combinatorial versus temporal features of odour codes," Nature Communications, Nature, vol. 6(1), pages 1-13, November.
  • Handle: RePEc:nat:natcom:v:6:y:2015:i:1:d:10.1038_ncomms7953
    DOI: 10.1038/ncomms7953
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    Cited by:

    1. Inga Petelski & Yannick Günzel & Sercan Sayin & Susanne Kraus & Einat Couzin-Fuchs, 2024. "Synergistic olfactory processing for social plasticity in desert locusts," Nature Communications, Nature, vol. 15(1), pages 1-15, December.
    2. Rishabh Chandak & Baranidharan Raman, 2023. "Neural manifolds for odor-driven innate and acquired appetitive preferences," Nature Communications, Nature, vol. 14(1), pages 1-21, December.
    3. Wensheng Sun & Dennis L Barbour, 2017. "Rate, not selectivity, determines neuronal population coding accuracy in auditory cortex," PLOS Biology, Public Library of Science, vol. 15(11), pages 1-22, November.

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