Representation and integration of diverse visual features in circuits and behavior

电路和行为中不同视觉特征的表示和整合

• 批准号: 10368451
• 负责人: Maxwell Holte Turner
• 金额: $ 11.1万
• 依托单位: STANFORD UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-03-01 至 2024-02-29
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10368451
• 关键词: 3-Dimensional; 3D virtual reality; Advisory Committees; Animal Behavior; Animals; Award; Behavior; Behavioral; Behavioral Paradigm; Brain; Brain imaging; Career Transition Award; Complex; Computer Models; Conflict (Psychology); Cues; Dimensions; Drosophila genus; Functional Imaging; Genetic; Goals; Human; Laboratories; Lateral; Link; Measures; Mediating; Mentors; Methods; Mission; Modeling; Modernization; Motion; National Eye Institute; Neurons; Neurosciences; Optic Lobe; Optics; Partner in relationship; Pathway interactions; Perception; Phase; Population; Property; Research; Research Support; Resources; Rest; Shapes; Signal Transduction; Smell Perception; Statistical Models; Stimulus; Structure; Techniques; Testing; Time; Training; Universities; Vision; Visual; Visual Pathways; Visual Perception; Visual system structure; Walking; Work; base; behavior measurement; behavioral study; career; career development; fictional works; fly; gene therapy; genetic manipulation; large datasets; neural circuit; olfactory bulb glomeruli; parallel processing; relating to nervous system; response; theories; tool; visual information; visual neuroscience; visual stimulus

PROJECT SUMMARY Visual perception and visually-guided behavior relies on the ability of the brain to combine information about multiple aspects of a visual scene. In all sighted animals, including humans, the visual system uses parallel processing strategies to represent different features of a visual scene in different visual pathways or populations of neurons. How, then, does the brain combine information about these different aspects of the visual world into a unified visual percept, and how do animals guide behavior based on multiple visual cues that are encoded by separate pathways? The research performed under this award will answer this question using the visual system of the fruit fly Drosophila as a model, which allows for the identification and targeting of precise, defined neural populations that represent visual cues. This work will: (1) Determine how diverse visual features are jointly represented by populations of visual projection neurons that carry information from the visual system to the rest of the brain, (2) Determine how interactions among these visual projection pathways shape the visual information encoded in them, and (3) Determine how different features of a scene are combined to guide animal behavior. This work will advance the core mission of the National Eye Institute by making contributions to the understanding of visual function. This research will rely on a wide array of modern approaches in neuroscience, including functional imaging of brain activity, genetic manipulations, computational and statistical modeling, and behavioral measurements. In addition to the research described above, this award will support the awardee’s transition to an independent research career at a research-intensive university and further support the establishment of their visual neuroscience laboratory.

项目摘要 视觉感知和视觉引导的行为取决于大脑结合有关的信息的能力 视觉场景的多个方面。在包括人类在内的所有视力动物中，视觉系统使用平行 处理策略以表示视觉场景的不同特征在不同的视觉途径或种群中 神经元。那么，大脑如何将有关视觉世界这些不同方面的信息结合到一个 统一的视觉感知以及动物如何基于由多个由由多种视觉提示进行指导的行为 单独的途径？根据该奖项进行的研究将使用 果蝇果蝇作为模型，允许识别和靶向精确定义的中性 代表视觉提示的人群。这项工作将：（1）确定多样化的视觉特征是如何共同的 以视觉投影神经元的种群为代表，这些神经元将信息从视觉系统传递到其余 （2）确定这些视觉投影途径之间的相互作用如何塑造视觉信息 在其中编码，（3）确定场景的不同特征是如何组合起来的，以指导动物行为。 工作将通过为理解做出贡献来推动国家眼科研究所的核心使命 视觉功能。这项研究将依靠神经科学的各种现代方法，包括功能 大脑活动，遗传操作，计算和统计建模以及行为的成像 测量。除了上述研究外，该奖项还将支持获奖者的过渡到 研究密集于大学的独立研究职业，并进一步支持建立其视觉 神经科学实验室。