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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：
10417160
负责人：
David Henry Gire
金额：
$ 33.37万
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/10417160
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 Reading Resources Route Schizophrenia Sensory Series Soil Source Structure Techniques Testing Training Travel Viral autism spectrum disorder base behavior test behavioral response calcium indicator experimental study insight interest miniaturize neural circuit neurophysiology olfactory bulb predictive modeling relating to nervous system seal sensor sensory input sensory integration simulation source localization

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