2022BBSRC-NSF/BIO Generating New Network Analysis Tools for Elucidating the Functional Logic of 3D Vision Circuits of the Drosophila Brain

2022BBSRC-NSF/BIO 生成新的网络分析工具来阐明果蝇大脑 3D 视觉电路的功能逻辑

• 批准号: BB/Y000234/1
• 负责人: Mikko Ilmari Juusola
• 金额: $ 107.95万
• 依托单位: University of Sheffield
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2024
• 资助国家: 英国
• 起止时间: 2024 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=BB%2FY000234%2F1
• 关键词: 2022BBSRC; NSF; BIO; Generating; New

Human eyes constantly exert small-scale motions called microsaccades. The functional role of microsaccades in perceiving the visual world remains a mystery. The lack of suitable tools and methodologies has limited our understanding of how animals see the 3-dimensional visual world and control their movements. The primate eyes and brain have hindered simultaneous live imaging of large-scale clusters of neurons at cellular resolution. Conversely, approaches using small-brain model organisms, such as the fruit fly (Drosophila) and zebrafish, have focussed on assigning motion detection and colour discrimination tasks to single neurons and circuits. Recently, it has been discovered that the photoreceptors in the retina of the fruit fly are also subject to light-induced and muscle-induced retinal movements such as microsaccades. It was shown in the fruit fly that light-induced microsaccades play a key role in depth perception of stereo vision. In this proposal, we aim to generate novel tools to elucidate how Drosophila brain circuits work dynamically at subcellular resolution in the biochemical domain. These tools integrate activity recordings in the living eye and biological brain circuits with graph analysis, multiscale modelling, active visual sampling, and connectomics/synaptomics models of computation. Building on this integration, we will investigate how active sampling in the retina supports Drosophila visual networks to encode 3-dimensional object information. Our novel multidisciplinary approach will generate new open-source software tools that will be invaluable for the neuroscience community exploring how stereoscopic perception of 3D objects emerges from the complex synaptic interactions of the eyes' and brain's visual circuits. Individually and collectively, these tools will potentially have broad impact well beyond the immediate goal of elucidating the functional logic of 3D vision circuits in the Drosophila.

人类的眼睛不断地进行被称为“微扫视”的小规模运动。微跳在感知视觉世界中的功能作用仍然是一个谜。缺乏合适的工具和方法限制了我们对动物如何看待三维视觉世界和控制它们的运动的理解。灵长类动物的眼睛和大脑阻碍了以细胞分辨率同时进行大规模神经元簇的实时成像。相反，使用小脑模式生物（如果蝇和斑马鱼）的方法侧重于将运动检测和颜色识别任务分配给单个神经元和电路。最近，人们发现果蝇视网膜中的光感受器也会受到光诱导和肌肉诱导的视网膜运动，如微眼跳。在果蝇中，光诱导的微眼跳在立体视觉的深度感知中起着关键作用。在这项提议中，我们的目标是产生新的工具来阐明果蝇大脑回路如何在生化领域的亚细胞分辨率下动态工作。这些工具将活体眼睛和生物脑回路的活动记录与图形分析、多尺度建模、主动视觉采样和计算的连接组学/突触组学模型集成在一起。在这种整合的基础上，我们将研究视网膜中的活动采样如何支持果蝇视觉网络编码三维物体信息。我们新颖的多学科方法将产生新的开源软件工具，这对于神经科学社区探索如何从眼睛和大脑视觉回路的复杂突触相互作用中产生3D物体的立体感知将是无价的。无论是单独的还是集体的，这些工具都有可能产生广泛的影响，远远超出了阐明果蝇3D视觉回路功能逻辑的直接目标。