Mechanisms of Active Sensing in Drosophila
果蝇主动感知机制
基本信息
- 批准号:10589901
- 负责人:
- 金额:$ 24.37万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2022
- 资助国家:美国
- 起止时间:2022-03-15 至 2025-02-28
- 项目状态:未结题
- 来源:
- 关键词:Afferent NeuronsAnimalsBRAIN initiativeBehaviorBehavioralBiological ModelsBrainCell modelCellsCharacteristicsClosure by clampDataDiseaseDrosophila genusDrosophila melanogasterElectrophysiology (science)Environmental WindEsthesiaFailureFingersFlying body movementGeneticGenetic ModelsGoalsGrantHandHumanImmunohistochemistryInsectaLabelLearningLocationMachine LearningMeasuresMechanoreceptorsMediatingMentorsMissionModelingMolecularMotorMotor NeuronsMovementMuscleNervous SystemNervous System PhysiologyNeuronsNeurotransmittersOdorsPhasePopulationPostdoctoral FellowProcessRegulationResearchResolutionRoleSchizophreniaSensoryShapesSignal TransductionSpeedStainsStimulusStudy modelsSystemTestingTouch sensationTranslatingVideo RecordingWalkingWorkactive controlautism spectrum disorderexpectationexperimental studyflygoal oriented behaviorinsightmachine learning algorithmmodel organismneural circuitnoveloptogeneticsresponsesensorsensory integrationsensory stimulustool
项目摘要
Project Summary
The goal of this project is to study the cellular basis of active sensation. A crucial function of all nervous systems
is to distinguish between sensory stimuli originating from the external world and that generated by our own
movements. This task relies on brain circuits that integrate sensory information with an internal model, or
expectation, of self-generated movements. The complexity and intractability of many models used to study active
sensing means that translating insights from these studies to failures of normal nervous system function remains
challenging. Fruit flies (Drosophila melanogaster) actively move their antennae, and my recent work has
elucidated a neural circuit that processes mechanosensory information from the antenna. Given the power of
Drosophila as a genetic model organism, this project aims to develop the neural circuits controlling and sensing
antennal movement as a cellular model for studying principles of active sensing. In the K99 (mentored) portion
of this grant, I will identify the cellular location at which self- versus externally-generated mechanosensory signals
become differentially represented in the brain. I will make electrophysiological recordings of intracellular activity
from 2nd and 3rd order mechanosensory neurons and compare how these two populations encode passive and
active movements of the antennae. I will distinguish between these two types of movements using machine
learning analysis of simultaneously recorded video data. For the R00 (independent) phase, I will use
optogenetics and immunohistochemistry to identify motor neurons that control antennal movement. I will then
ask where input from motor neurons impinge on the sensory circuit. Finally, I will test the role of active antennal
movements in behavior. By perturbing active antennal movements in freely walking and flying flies, I will directly
test how these movements enable different behavioral tasks such as wind orientation and obstacle avoidance.
Together, these experiments will identify the cellular basis for active sensing in Drosophila, and their role in goal-
oriented behaviors.
项目概要
该项目的目标是研究主动感觉的细胞基础。所有神经系统的重要功能
是区分来自外部世界的感觉刺激和我们自己产生的感觉刺激
动作。这项任务依赖于将感觉信息与内部模型相结合的大脑回路,或者
对自发运动的期望。用于研究活性物质的许多模型的复杂性和难处理性
感知意味着将这些研究的见解转化为正常神经系统功能的失败仍然存在
具有挑战性的。果蝇(Drosophila melanogaster)积极地移动它们的触角,我最近的工作
阐明了处理来自天线的机械感觉信息的神经回路。鉴于权力
果蝇作为遗传模型生物,该项目旨在开发控制和感知的神经回路
天线运动作为研究主动传感原理的细胞模型。在K99(指导)部分
在这笔拨款中,我将确定自我与外部产生的机械感觉信号的细胞位置
在大脑中呈现出不同的表现。我将对细胞内活动进行电生理记录
来自二阶和三阶机械感觉神经元,并比较这两个群体如何编码被动和
触角的主动运动。我将使用机器区分这两种类型的运动
同时记录的视频数据的学习分析。对于 R00(独立)阶段,我将使用
光遗传学和免疫组织化学来识别控制触角运动的运动神经元。然后我会
询问运动神经元的输入在哪里影响感觉回路。最后测试一下主动天线的作用
行为上的动作。通过干扰自由行走和飞行的苍蝇的主动触角运动,我将直接
测试这些运动如何实现不同的行为任务,例如风向和避障。
总之,这些实验将确定果蝇主动传感的细胞基础,以及它们在目标中的作用——
导向的行为。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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