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moth 嗅觉受体神经元调整其编码效率以适应信息素波动的时间统计。

Moth olfactory receptor neurons adjust their encoding efficiency to temporal statistics of pheromone fluctuations.

机构信息

Institute of Physiology of the Czech Academy of Sciences, Prague, Czech Republic.

Institute of Ecology and Environmental Sciences, INRA, Versailles, France.

出版信息

PLoS Comput Biol. 2018 Nov 13;14(11):e1006586. doi: 10.1371/journal.pcbi.1006586. eCollection 2018 Nov.

DOI:10.1371/journal.pcbi.1006586
PMID:30422975
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6258558/
Abstract

The efficient coding hypothesis predicts that sensory neurons adjust their coding resources to optimally represent the stimulus statistics of their environment. To test this prediction in the moth olfactory system, we have developed a stimulation protocol that mimics the natural temporal structure within a turbulent pheromone plume. We report that responses of antennal olfactory receptor neurons to pheromone encounters follow the temporal fluctuations in such a way that the most frequent stimulus timescales are encoded with maximum accuracy. We also observe that the average coding precision of the neurons adjusted to the stimulus-timescale statistics at a given distance from the pheromone source is higher than if the same encoding model is applied at a shorter, non-matching, distance. Finally, the coding accuracy profile and the stimulus-timescale distribution are related in the manner predicted by the information theory for the many-to-one convergence scenario of the moth peripheral sensory system.

摘要

高效编码假说预测感觉神经元会调整其编码资源，以最优地表示其环境的刺激统计信息。为了在飞蛾嗅觉系统中验证这一预测，我们开发了一种刺激方案，该方案模拟了在涡流信息素羽流中自然的时间结构。我们报告称，触角嗅觉受体神经元对信息素遭遇的反应会随时间波动，从而以最大精度编码最常见的刺激时间尺度。我们还观察到，与在较短的、不匹配的距离处应用相同的编码模型相比，在给定距离处从信息素源调整的神经元的平均编码精度更高。最后，编码准确性分布与刺激时间尺度分布之间的关系符合飞蛾外周感觉系统的多对一收敛情景的信息论预测。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/09ce/6258558/28bb8969e5f7/pcbi.1006586.g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/09ce/6258558/27058f8a870a/pcbi.1006586.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/09ce/6258558/57ad28634fe4/pcbi.1006586.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/09ce/6258558/beac86f9b601/pcbi.1006586.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/09ce/6258558/9a68fbba46f3/pcbi.1006586.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/09ce/6258558/49b96595d3f0/pcbi.1006586.g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/09ce/6258558/f81de924f4d5/pcbi.1006586.g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/09ce/6258558/da26a303af8a/pcbi.1006586.g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/09ce/6258558/28bb8969e5f7/pcbi.1006586.g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/09ce/6258558/27058f8a870a/pcbi.1006586.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/09ce/6258558/57ad28634fe4/pcbi.1006586.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/09ce/6258558/beac86f9b601/pcbi.1006586.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/09ce/6258558/9a68fbba46f3/pcbi.1006586.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/09ce/6258558/49b96595d3f0/pcbi.1006586.g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/09ce/6258558/f81de924f4d5/pcbi.1006586.g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/09ce/6258558/da26a303af8a/pcbi.1006586.g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/09ce/6258558/28bb8969e5f7/pcbi.1006586.g008.jpg

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