Suppr超能文献

嗅觉受体神经元中的增益控制与气味浓度时间波动的检测。

Gain control in olfactory receptor neurons and the detection of temporal fluctuations in odor concentration.

作者信息

Tichy Harald, Hellwig Maria

机构信息

Department of Neuroscience and Developmental Biology, Faculty of Life Sciences University of Vienna, Vienna, Austria.

出版信息

Front Physiol. 2023 Jul 12;14:1158855. doi: 10.3389/fphys.2023.1158855. eCollection 2023.

Abstract

The ability of the cockroach to locate an odor source in still air suggests that the temporal dynamic of odor concentration in the slowly expanding stationary plume alone is used to infer odor source distance and location. This contradicts with the well-established view that insects use the wind direction as the principle directional cue. This contribution highlights the evidence for, and likely functional relevance of, the capacity of the cockroach's olfactory receptor neurons to detect and process-from one moment to the next-not only a succession of odor concentrations but also the rates at which concentration changes. This presents a challenge for the olfactory system because it must detect and encode the temporal concentration dynamic in a manner that simultaneously allows invariant odor recognition. The challenge is met by a parallel representation of odor identity and concentration changes in a dual pathway that starts from olfactory receptor neurons located in two morphologically distinct types of olfactory sensilla. Parallel processing uses two types of gain control that simultaneously allocate different weight to the instantaneous odor concentration and its rate of change. Robust gain control provides a stable sensitivity for the instantaneous concentration by filtering the information on fluctuations in the rate of change. Variable gain control, in turn, enhances sensitivity for the concentration rate according to variations in the duration of the fluctuation period. This efficiently represents the fluctuation of concentration changes in the environmental context in which such changes occur.

摘要

蟑螂在静止空气中定位气味源的能力表明,仅靠缓慢扩展的静止气味羽流中气味浓度的时间动态就能用来推断气味源的距离和位置。这与昆虫以风向作为主要方向线索这一已确立的观点相矛盾。本文强调了蟑螂嗅觉受体神经元不仅能够检测和处理——从一个时刻到下一个时刻——一系列气味浓度,还能检测和处理浓度变化速率的证据及其可能的功能相关性。这给嗅觉系统带来了挑战,因为它必须以一种同时允许不变的气味识别的方式检测和编码时间浓度动态。这个挑战通过在从位于两种形态不同的嗅觉感受器中的嗅觉受体神经元开始的双通路中对气味特性和浓度变化进行并行表征来应对。并行处理使用两种类型的增益控制,它们同时对瞬时气味浓度及其变化速率分配不同的权重。稳健的增益控制通过过滤关于变化速率波动的信息,为瞬时浓度提供稳定的灵敏度。相反,可变增益控制根据波动周期持续时间的变化增强对浓度变化速率的灵敏度。这有效地呈现了在其发生变化的环境背景中浓度变化的波动情况。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/02dd/10368873/7c2abe41922a/fphys-14-1158855-g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验