Collaborative Research: NCS-FR: Shedding light on brain circuits mediating navigation of the odor plume in a natural environment

合作研究:NCS-FR:揭示自然环境中介导气味羽流导航的大脑回路

基本信息

  • 批准号:
    1926668
  • 负责人:
  • 金额:
    $ 109.35万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2019
  • 资助国家:
    美国
  • 起止时间:
    2019-09-15 至 2024-08-31
  • 项目状态:
    已结题

项目摘要

Animals have a keen ability to find odor sources such as food, partners, pups and predators through the sense of smell in a manner that cannot be replicated by machines. How brains mediate navigation of the environment (the odor plume) through smell is an important unsolved problem. Indeed there are many instances where using machines to navigate an odor landscape is an unmet need to society. For example, even though their training requires lengthy one on one interaction with a trainer, dogs are still used to find explosives in airports and in the battlefield. Our multidisciplinary Odor Plume Neurophotonics (OPeN) team will tackle understanding the brain circuits mediating odor plume navigation. This is a daunting task because it involves characterizing how odors diffuse in the air (environmental engineering), developing advanced miniature microscopes to record from the brain of freely moving animals (electrical and mechanical engineering), recording from brain regions processing odor plume information in real time (systems neuroscience and integrative neurophotonics), and developing mathematical procedures to quantify how the information necessary for successful odor plume navigation is represented in the brain (applied mathematics). Our team will engineer a novel miniature microscope to record activity as mice navigate the odor plume and will assess how the activity of these neurons result in successful odor plume navigation. Furthermore, the team members of OPeN are thoroughly committed to foster advancement of women, underrepresented minorities, veterans and disabled individuals in science and participate in various programs to promote science diversity. Additionally, the team members have a track record of disseminating their work and have an established partnership with a local small business, Intelligent Imaging Innovation, Inc. with world headquarters located in Denver. We will continue our commercial dissemination efforts of the technology developed in this project. Finally, we will endeavor to communicate science to the broader audience through venues such as Scientific American, Public Broadcasting Service and outreach through the Denver Museum of Nature and Science.Members of our OPeN interdisciplinary team developed a novel two photon fiber-coupled microscope for 3D imaging of brain activity in the freely moving mouse and generated and quantified realistic odor environments in the laboratory to explore algorithms used for odor-guided navigation. In this project we leverage the extensive expertise and achievements of the team to crack the circuit basis for odor plume navigation. We will develop a low-weight, miniature 3-photon fiber coupled microscope (3P-FCM) to record neuronal activity simultaneously in one brain area in two planes of view. In addition, OPeN will develop a portable photoionization (PID) sensor to detect the odorant concentration at the nostril as the animal navigates the odor plume. Members of the OPeN team will record neural activity in the hippocampus and cerebellum of animals navigating the odor plume and will develop a Bayesian analysis method to decode odor plume navigation from neural activity. This multidisciplinary approach will result in understanding of the brain mechanisms of odor plume navigation.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
动物有敏锐的能力通过嗅觉找到气味来源,如食物,伴侣,幼崽和捕食者,这种方式是机器无法复制的。大脑如何通过嗅觉来调节环境(气味羽流)的导航是一个重要的未解决的问题。事实上,在许多情况下,使用机器来导航气味景观是社会未满足的需求。例如,即使它们的训练需要与训练员进行长时间的一对一互动,狗仍然被用来在机场和战场上寻找爆炸物。我们的多学科气味羽神经光子学(OPEN)团队将解决了解大脑回路介导的气味羽导航。这是一项艰巨的任务,因为它涉及到描述气味如何在空气中扩散(环境工程),开发先进的微型显微镜,从自由移动的动物的大脑记录(电子和机械工程),记录从大脑区域处理气味羽流信息在真实的时间(系统神经科学和整合神经光子学),以及开发数学程序来量化成功气味羽流导航所需的信息如何在大脑中表示(应用数学)。我们的团队将设计一种新型的微型显微镜来记录小鼠在气味羽流中的活动,并评估这些神经元的活动如何导致成功的气味羽流导航。此外,OPEN的团队成员完全致力于促进妇女,代表性不足的少数民族,退伍军人和残疾人在科学方面的进步,并参与各种促进科学多样性的计划。此外,团队成员有传播他们的工作的跟踪记录,并与当地的小企业,智能成像创新公司建立了合作伙伴关系。其全球总部位于丹佛。我们将继续努力将本项目开发的技术用于商业推广。最后,我们将奋进通过《科学美国人》、公共广播服务和推广通过丹佛自然和科学博物馆。我们的OPEN跨学科团队的成员开发了一种新颖的双光子光纤-耦合显微镜,用于自由移动小鼠大脑活动的3D成像,并在实验室中生成和量化逼真的气味环境,以探索使用的算法用于气味导航。在这个项目中,我们利用团队的广泛专业知识和成就来破解气味羽流导航的电路基础。我们将发展一种低重量、微型的三光子光纤耦合显微镜(3 P-FCM),以在两个视角同时记录一个脑区的神经元活动。此外,OPeN将开发一种便携式光电离(PID)传感器,以检测动物在气味羽流中的气味浓度。OPeN团队的成员将记录导航气味羽流的动物的海马体和小脑中的神经活动,并将开发一种贝叶斯分析方法,从神经活动中解码气味羽流导航。这个多学科的方法将导致气味羽流导航的大脑机制的理解。这个奖项反映了NSF的法定使命,并已被认为是值得通过使用基金会的智力价值和更广泛的影响审查标准进行评估的支持。

项目成果

期刊论文数量(8)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Distortion of passive scalar structure during suction-based plume sampling
基于吸力的羽流采样过程中被动标量结构的畸变
  • DOI:
    10.1016/j.snb.2022.132018
  • 发表时间:
    2022
  • 期刊:
  • 影响因子:
    0
  • 作者:
    True, Aaron C.;Crimaldi, John P.
  • 通讯作者:
    Crimaldi, John P.
Suppression of External Vibrations using an Electrowetting Lens
使用电润湿透镜抑制外部振动
  • DOI:
    10.1109/ipc53466.2022.9975495
  • 发表时间:
    2022
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Miscles, Eduardo J.;Lim, Wei Yang;Supekar, Omkar D.;Zohrabi, Mo;Gopinath, Juliet T.;Bright, Victor M.
  • 通讯作者:
    Bright, Victor M.
GRINtrode: a neural implant for simultaneous two-photon imaging and extracellular electrophysiology in freely moving animals.
  • DOI:
    10.1117/1.nph.9.4.045009
  • 发表时间:
    2022-10
  • 期刊:
  • 影响因子:
    5.3
  • 作者:
  • 通讯作者:
Two-dimensional Individually Addressible Electrowetting Micro-Lens Array
二维单独可寻址电润湿微透镜阵列
  • DOI:
    10.1109/ipc53466.2022.9975536
  • 发表时间:
    2022
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Gilinsky, Samuel D.;Zohrabi, Mo;Supekar, Omkar D.;Lim, Wei Yang;Bright, Victor M.;Gopinath, Juliet T.
  • 通讯作者:
    Gopinath, Juliet T.
A Dense Conformal Electrode Array for High Spatial Resolution Stimulation of Electrosensory Systems
用于电传感系统高空间分辨率刺激的密集适形电极阵列
  • DOI:
    10.1002/admt.202200354
  • 发表时间:
    2022
  • 期刊:
  • 影响因子:
    6.8
  • 作者:
    Kumar, Vikrant;Yu, Caroline;McGinn, Christine K.;Perks, Krista E.;Thompson, Sarah M.;Sawtell, Nathaniel B.;Kymissis, Ioannis
  • 通讯作者:
    Kymissis, Ioannis
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Juliet Gopinath其他文献

Juliet Gopinath的其他文献

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{{ truncateString('Juliet Gopinath', 18)}}的其他基金

Collaborative Research: NCS-FO: Modified two-photon microscope with high-speed electrowetting array for imaging voltage transients in cerebellar molecular layer interneurons
合作研究:NCS-FO:带有高速电润湿阵列的改良双光子显微镜,用于对小脑分子层中间神经元的电压瞬变进行成像
  • 批准号:
    2319405
  • 财政年份:
    2023
  • 资助金额:
    $ 109.35万
  • 项目类别:
    Standard Grant
Chalcogenide-based nonlinear optical gyroscope
基于硫族化物的非线性光学陀螺仪
  • 批准号:
    2224065
  • 财政年份:
    2022
  • 资助金额:
    $ 109.35万
  • 项目类别:
    Standard Grant
I-Corps: Non-mechanical scanning for laser ranging
I-Corps:用于激光测距的非机械扫描
  • 批准号:
    2244845
  • 财政年份:
    2022
  • 资助金额:
    $ 109.35万
  • 项目类别:
    Standard Grant
MRI: Acquisition of an Electron Beam Lithography System for Quantum Engineering and Nanoscience Research, Education and Training
MRI:采购用于量子工程和纳米科学研究、教育和培训的电子束光刻系统
  • 批准号:
    2215550
  • 财政年份:
    2022
  • 资助金额:
    $ 109.35万
  • 项目类别:
    Standard Grant
Collaborative Research: Two-photon absorption engineering in laser diodes for ultrafast pulse generation
合作研究:用于超快脉冲生成的激光二极管中的双光子吸收工程
  • 批准号:
    2133195
  • 财政年份:
    2021
  • 资助金额:
    $ 109.35万
  • 项目类别:
    Standard Grant
Collaborative Research: MRI Consortium: Development of Fiber-coupled Stimulated Emission Depletion Microscopy (STED)
合作研究:MRI 联盟:光纤耦合受激发射损耗显微镜 (STED) 的开发
  • 批准号:
    1919541
  • 财政年份:
    2019
  • 资助金额:
    $ 109.35万
  • 项目类别:
    Standard Grant
PFI-TT: Laser ranging system with tunable optical elements
PFI-TT:具有可调谐光学元件的激光测距系统
  • 批准号:
    1919148
  • 财政年份:
    2019
  • 资助金额:
    $ 109.35万
  • 项目类别:
    Standard Grant
GOALI: Stimulated Raman microscopy for sensitive real-time detection of membrane fouling
GOALI:受激拉曼显微镜用于灵敏地实时检测膜污染
  • 批准号:
    1826542
  • 财政年份:
    2018
  • 资助金额:
    $ 109.35万
  • 项目类别:
    Continuing Grant
RAISE: TAQS: On-Chip Entanglement, Preparation, Manipulation, and Detection for Integrated All Quantum Information Processing
RAISE:TAQS:用于集成全量子信息处理的片上纠缠、准备、操纵和检测
  • 批准号:
    1838435
  • 财政年份:
    2018
  • 资助金额:
    $ 109.35万
  • 项目类别:
    Standard Grant
NCS-FO: Collaborative Research: Rebuilding Neural Pathway Function Using Miniature Integrated Optics for Neuron-Level Readout and Feedback
NCS-FO:合作研究:使用微型集成光学重建神经通路功能以实现神经元级读出和反馈
  • 批准号:
    1631704
  • 财政年份:
    2016
  • 资助金额:
    $ 109.35万
  • 项目类别:
    Standard Grant

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相似海外基金

Collaborative Research: NCS-FR: Individual variability in auditory learning characterized using multi-scale and multi-modal physiology and neuromodulation
合作研究:NCS-FR:利用多尺度、多模式生理学和神经调节表征听觉学习的个体差异
  • 批准号:
    2409652
  • 财政年份:
    2024
  • 资助金额:
    $ 109.35万
  • 项目类别:
    Standard Grant
Collaborative Research: NCS-FR: DEJA-VU: Design of Joint 3D Solid-State Learning Machines for Various Cognitive Use-Cases
合作研究:NCS-FR:DEJA-VU:针对各种认知用例的联合 3D 固态学习机设计
  • 批准号:
    2319619
  • 财政年份:
    2023
  • 资助金额:
    $ 109.35万
  • 项目类别:
    Continuing Grant
Collaborative Research: NCS-FO: Modified two-photon microscope with high-speed electrowetting array for imaging voltage transients in cerebellar molecular layer interneurons
合作研究:NCS-FO:带有高速电润湿阵列的改良双光子显微镜,用于对小脑分子层中间神经元的电压瞬变进行成像
  • 批准号:
    2319406
  • 财政年份:
    2023
  • 资助金额:
    $ 109.35万
  • 项目类别:
    Continuing Grant
Collaborative Research: NCS-FO: Dynamic Brain Graph Mining
合作研究:NCS-FO:动态脑图挖掘
  • 批准号:
    2319450
  • 财政年份:
    2023
  • 资助金额:
    $ 109.35万
  • 项目类别:
    Continuing Grant
Collaborative Research: NCS-FO: Dynamic Brain Graph Mining
合作研究:NCS-FO:动态脑图挖掘
  • 批准号:
    2319451
  • 财政年份:
    2023
  • 资助金额:
    $ 109.35万
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Collaborative Research: NCS-FR: Individual variability in auditory learning characterized using multi-scale and multi-modal physiology and neuromodulation
合作研究:NCS-FR:利用多尺度、多模式生理学和神经调节表征听觉学习的个体差异
  • 批准号:
    2319493
  • 财政年份:
    2023
  • 资助金额:
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Collaborative Research: NCS-FR: DEJA-VU: Design of Joint 3D Solid-State Learning Machines for Various Cognitive Use-Cases
合作研究:NCS-FR:DEJA-VU:针对各种认知用例的联合 3D 固态学习机设计
  • 批准号:
    2319617
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    2023
  • 资助金额:
    $ 109.35万
  • 项目类别:
    Standard Grant
Collaborative Research: NCS-FO: Dynamic Brain Graph Mining
合作研究:NCS-FO:动态脑图挖掘
  • 批准号:
    2319449
  • 财政年份:
    2023
  • 资助金额:
    $ 109.35万
  • 项目类别:
    Standard Grant
Collaborative Research: NCS-FR: DEJA-VU: Design of Joint 3D Solid-State Learning Machines for Various Cognitive Use-Cases
合作研究:NCS-FR:DEJA-VU:针对各种认知用例的联合 3D 固态学习机设计
  • 批准号:
    2319618
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  • 资助金额:
    $ 109.35万
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Collaborative Research: NCS-FO: A model-based approach to probe the role of spontaneous movements during decision-making
合作研究:NCS-FO:一种基于模型的方法,探讨自发运动在决策过程中的作用
  • 批准号:
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  • 财政年份:
    2023
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