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当嗅觉刺激周期性地结构化以模拟自然翅膀拍打效果时,触角叶的表示被优化。

Antennal lobe representations are optimized when olfactory stimuli are periodically structured to simulate natural wing beat effects.

机构信息

Department of Biology, West Virginia University Morgantown, WV, USA ; Centre des Sciences du Goût et de l'Alimentation, Université de Bourgogne Dijon, France.

Department of Biology, West Virginia University Morgantown, WV, USA.

出版信息

Front Cell Neurosci. 2014 Jun 12;8:159. doi: 10.3389/fncel.2014.00159. eCollection 2014.

Abstract

Animals use behaviors to actively sample the environment across a broad spectrum of sensory domains. These behaviors discretize the sensory experience into unique spatiotemporal moments, minimize sensory adaptation, and enhance perception. In olfaction, behaviors such as sniffing, antennal flicking, and wing beating all act to periodically expose olfactory epithelium. In mammals, it is thought that sniffing enhances neural representations; however, the effects of insect wing beating on representations remain unknown. To determine how well the antennal lobe (AL) produces odor dependent representations when wing beating effects are simulated, we used extracellular methods to record neural units and local field potentials (LFPs) from moth AL. We recorded responses to odors presented as prolonged continuous stimuli or periodically as 20 and 25 Hz pulse trains designed to simulate the oscillating effects of wing beating around the antennae during odor guided flight. Using spectral analyses, we show that ~25% of all recorded units were able to entrain to "pulsed stimuli"; this includes pulsed blanks, which elicited the strongest overall entrainment. The strength of entrainment to pulse train stimuli was dependent on molecular features of the odorants, odor concentration, and pulse train duration. Moreover, units showing pulse tracking responses were highly phase locked to LFPs during odor stimulation, indicating that unit-LFP phase relationships are stimulus-driven. Finally, a Euclidean distance-based population vector analysis established that AL odor representations are more robust, peak more quickly, and do not show adaptation when odors were presented at the natural wing beat frequency as opposed to prolonged continuous stimulation. These results suggest a general strategy for optimizing olfactory representations, which exploits the natural rhythmicity of wing beating by integrating mechanosensory and olfactory cues at the level of the AL.

摘要

动物通过广泛的感觉域中的行为来主动采样环境。这些行为将感觉体验离散化为独特的时空瞬间,最小化感觉适应,并增强感知。在嗅觉中,嗅探、触角轻弹和翅膀拍打等行为都可以周期性地暴露嗅觉上皮。在哺乳动物中,人们认为嗅探可以增强神经表示;然而,昆虫翅膀拍打对表示的影响仍然未知。为了确定当模拟翅膀拍打效应时,触角叶(AL)如何更好地产生依赖于气味的表示,我们使用细胞外方法记录来自飞蛾 AL 的神经单位和局部场电位(LFP)。我们记录了对作为延长连续刺激或周期性 20 和 25 Hz 脉冲串呈现的气味的反应,这些脉冲串旨在模拟在气味引导飞行期间围绕天线的翅膀摆动的振荡效应。使用频谱分析,我们表明约 25%的所有记录单位能够适应“脉冲刺激”;这包括激发最强总体适应的脉冲空白。对脉冲串刺激的适应程度取决于气味的分子特征、气味浓度和脉冲串持续时间。此外,显示脉冲跟踪反应的单位在气味刺激期间与 LFP 高度相位锁定,表明单位-LFP 相位关系是受刺激驱动的。最后,基于欧几里得距离的群体向量分析表明,当气味以自然翅膀拍打频率而不是延长连续刺激呈现时,AL 气味表示更稳健、峰值更快,并且不会出现适应。这些结果表明了一种优化嗅觉表示的一般策略,该策略通过在 AL 级别整合机械感觉和嗅觉线索来利用翅膀拍打自然的节奏。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8c0e/4053783/7eafea0a71e2/fncel-08-00159-g001.jpg

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