Strategies for encoding odor information

气味信息编码策略

• 批准号: 8338874
• 负责人: Barry W. ACHE
• 金额: $ 18.31万
• 依托单位: UNIVERSITY OF FLORIDA
• 依托单位国家: 美国
• 财政年份: 2011
• 资助国家: 美国
• 起止时间: 2011-09-26 至 2014-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8338874
• 关键词: Animal Model; Characteristics; Code; Complex; Computer Simulation; Detection; Functional disorder; Human; Literature; Odors; Olfactory Receptor Neurons; Optics; Output; Perception; Peripheral; Physiological; Process; Relative (related person); Research; Signal Transduction; Structure; System; Testing; design; relating to nervous system; research study; spatiotemporal

DESCRIPTION (provided by applicant): Odor information is generally assumed to be encoded by olfactory receptor neurons (ORNs) in which odorants evoke a tonic discharge. Exciting new evidence extends hints in the earlier literature that some ORNs are not tonically active, but rather are inherently rhythmically active or 'bursting' ORNs (bORNs) in which the rhythmic bursting is entrained by odorants. bORNs open up an entirely new possibility for encoding odor information, in particular information relative to the spatiotemporal characteristics of the odor signal. Experiments are proposed using an animal model in which both tonically active and bORNs are well characterized physiologically to compare the potential of both types of ORNs to encode odor information. This will be done by first using computational modeling to test the hypothesis that synchronization of large ensembles of bORNs selectively favors (1) the detection and amplification of weak odor signals and (2) the detection and coding of the temporal characteristics of the odor signal itself compared to tonically active ORNs. Combined optical and electrophysiological recording from small ensembles of actual ORNs will then be used to experimentally test the predictions of the computational model. This project has the capacity to identify a heretofore unappreciated way in which olfactory information is encoded.

描述（由申请人提供）：通常认为气味信息是由嗅觉受体神经元（ORNS）编码的，其中气味会引起滋补。令人兴奋的新证据扩展了一些早期文献中的暗示，即某些Orn并非具有色调活跃，而是本质上是有节奏的活动或“爆发” Orns（Borns），其中有节奏的爆发被气味剂夹住。 Borns为编码气味信息，特别是与气味信号的时空特征有关的信息开辟了一个全新的可能性。提出了使用动物模型提出的实验，在该模型上，在生理上均具有良好的色调活性和出生，以比较两种ORN的潜力编码气味信息的潜力。这将首先使用计算模型来检验以下假设：与较弱的气味信号的检测和放大，与较弱的气味信号的检测和扩增相比，与调谐活性ORN相比，弱气味信号的检测和扩增检测和编码。然后，将使用实际ORN的小集合物进行的光学和电生理记录，然后将用于实验测试计算模型的预测。该项目有能力确定源自编码嗅觉信息的迄今为止未欣赏的方式。

项目成果

Quantifying bursting neuron activity from calcium signals using blind deconvolution.

• DOI: 10.1016/j.jneumeth.2013.05.007
• 发表时间: 2013-09-15
• 期刊: JOURNAL OF NEUROSCIENCE METHODS
• 影响因子: 3
• 作者: Park, In Jun;Bobkov, Yuriy V.;Ache, Barry W.;Principe, Jose C.
• 通讯作者: Principe, Jose C.

Mixture interactions at mammalian olfactory receptors are dependent on the cellular environment.

• DOI: 10.1038/s41598-021-88601-0
• 发表时间: 2021-04-29
• 期刊: Scientific reports
• 影响因子: 4.6
• 作者: Corey EA;Zolotukhin S;Ache BW;Ukhanov K
• 通讯作者: Ukhanov K

Neurally Encoding Time for Olfactory Navigation.

• DOI: 10.1371/journal.pcbi.1004682
• 发表时间: 2016-01
• 期刊: PLoS computational biology
• 影响因子: 4.3
• 作者: Park IJ;Hein AM;Bobkov YV;Reidenbach MA;Ache BW;Principe JC
• 通讯作者: Principe JC