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Navigation with complex odor dynamics: computational principles and neural circuit implementation in mice

复杂气味动力学导航：计算原理和小鼠神经回路实现

基本信息

批准号：
10634677
负责人：
David Henry Gire
金额：
$ 35.27万
依托单位：
UNIVERSITY OF WASHINGTON
依托单位国家：
美国
项目类别：
财政年份：
2020
资助国家：
美国
起止时间：
2020-07-01 至 2025-06-30
项目状态：
未结题

来源：
https://reporter.nih.gov/project-details/10634677
关键词：
3-Dimensional Air Movements Algorithms Alzheimer&apos s Disease Animal Behavior Animals Area Automobile Driving Behavior Behavioral Biological Models Brain Calcium Cells Chronic Code Cognitive deficits Complex Computer Models Computers Cues Data Decision Making Electrophysiology (science)Environment Environmental Wind Exposure to Food Genetic Goals Head Image Implant Label Liquid substance Measures Mental disorders Modeling Monitor Mus Nature Neurosciences Nose Nutrient Odors Olfactory Pathways Organism Outcome Output Parkinson Disease Partner in relationship Pathologic Performance Phase Polar Bear Positioning Attribute Process Resources Schizophrenia Sensory Series Soil Source Structure Techniques Testing Training Travel Viral Virus autism spectrum disorder behavior test behavioral response calcium indicator experimental study insight interest miniaturize neural neural circuit neuroimaging neurophysiology olfactory bulb predictive modeling seal sensor sensory input sensory integration simulation tool transmission process

项目摘要

PROJECT SUMMARY All animals use sensory cues to find their way through complex environments and locate vital resources such as food or mates. From simple organisms such as worms finding nutrient-rich soil at centimeter-scale distances to polar bears following their noses across kilometers to feed upon seal carcasses, the ability to navigate an environment using odors is one of the most evolutionarily ancient and widespread examples of this complex behavior. Interest in the ability to navigate with odors has spanned decades and resulted in numerous models suggesting how animals can accomplish this feat. Testing these models is extremely difficult because in nearly all terrestrial environments odors are transported as fluctuating plumes by turbulent air flow. This necessitates either the use of simplifying models for odor flow or complex three-dimensional computational fluid dynamics simulations. In both cases, only statistical connections can be made between the performance of a simulated searcher and the behavior and neural processing of an animal. This limitation rules out the ability to combine moment-to-moment neural recordings with the sensory input guiding an animal’s behavior. This proposal represents a cross-disciplinary effort between experts in fluid dynamics, olfactory systems neuroscience, and neurophysiology to directly establish the algorithms used for odor-guided navigation and the neural implementation of these algorithms in the early olfactory system of mice. We will use newly developed, miniature odor sensors to record odor plumes at the mouse nose during odor-guided navigation. By combining these sensor readings with computational models of odor flow we will directly test the behavioral algorithms used by mice to navigate with odor plumes. To establish the neural implementation of these algorithms we will perform large-scale neural imaging and electrophysiology recordings from the early olfactory system while monitoring odor plume input at the nose. We will also use viral labeling techniques to selectively record neural activity from cells that send output to specific downstream cortical structures. By recording neural activity from olfactory bulb cells with specific cortical targets we will test how odor information is routed from sensory to decision-making areas to support odor-guided navigation. Finally, we will combine these levels of analysis to generate a complete model of odor-guided navigation that connects behavioral algorithms to neural implementation.

项目总结所有动物都使用感官线索在复杂的环境中找到它们的路，并定位重要的资源作为食物或配偶。从简单的有机体，如蠕虫，在厘米尺度上发现营养丰富的土壤与北极熊的距离跟随它们的嗅觉跨越几公里以海豹身体为食，这种能力利用气味在环境中导航是进化上最古老和最广泛的例子之一行为复杂。人们对气味导航能力的兴趣跨越了几十年，并导致了许多动物如何完成这一壮举的模型。测试这些模型极其困难，因为在几乎所有的陆地环境中，气味都是通过湍急的气流以波动的羽流形式传输的。这需要使用气味流动的简化模型或复杂的三维计算流体动力学模拟。在这两种情况下，只能在性能之间建立统计联系模拟搜索者和动物的行为和神经过程。这一限制排除了能够将每时每刻的神经记录与指导动物行为的感觉输入结合起来。这项建议代表了流体动力学、嗅觉系统等专家之间的跨学科努力。神经科学和神经生理学，直接建立用于气味导航和这些算法在小鼠早期嗅觉系统中的神经实现。我们将使用新开发的，微型气味传感器，可在气味引导导航期间记录老鼠鼻子处的气味羽流。通过组合这些传感器读数与气味流动的计算模型一起，我们将直接测试行为算法老鼠用气味羽毛导航。为了建立这些算法的神经实现，我们将从早期嗅觉系统进行大规模神经成像和电生理记录，同时监测输入到鼻子的气味羽流。我们还将使用病毒标记技术选择性地记录神经细胞的活动将输出发送到特定的下游皮质结构。通过记录来自带有特定皮质靶点的嗅球细胞，我们将测试气味信息是如何从感觉传递到支持气味引导导航的决策区域。最后，我们将结合这些层次的分析来生成一个完整的气味引导导航模型，将行为算法与神经连接起来实施。

项目成果

期刊论文数量（10）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

Plume Dynamics Structure the Spatiotemporal Activity of Mitral/Tufted Cell Networks in the Mouse Olfactory Bulb.

羽状动力学结构小鼠嗅球中二尖瓣/簇状细胞网络的时空活性。

DOI：
10.3389/fncel.2021.633757
发表时间：
2021
期刊：
Frontiers in cellular neuroscience
影响因子：
5.3
作者：
Lewis SM;Xu L;Rigolli N;Tariq MF;Suarez LM;Stern M;Seminara A;Gire DH
通讯作者：
Gire DH

Reconstitution of ORP-mediated lipid exchange process coupled to PI(4)P metabolism.

ORP 介导的脂质交换过程与 PI(4)P 代谢耦合的重建。

DOI：
10.1101/2023.08.04.551917
发表时间：
2023
期刊：
bioRxiv : the preprint server for biology
影响因子：
0
作者：
Fuggetta,Nicolas;Rigolli,Nicola;Magdeleine,Maud;Seminara,Agnese;Drin,Guillaume
通讯作者：
Drin,Guillaume

Learning to predict target location with turbulent odor plumes.

DOI：
10.7554/elife.72196
发表时间：
2022-08-12
期刊：
ELIFE
影响因子：
7.7
作者：
Rigolli, Nicola;Magnoli, Nicodemo;Rosasco, Lorenzo;Seminara, Agnese;Goldstein, Raymond E.
通讯作者：
Goldstein, Raymond E.

Alternation emerges as a multi-modal strategy for turbulent odor navigation.