Programming Resource Core

编程核心模块摘要 编程核心模块的主要目标是促进广泛的计算编程 耶鲁大学的视觉系统实验和分析。视觉研究方法已经成为 越来越复杂，需要新的计算策略来支持先进的技术。为 例如，耶鲁大学的多视觉研究人员现在经常使用基因编码的荧光传感器， 神经活动（例如，Ca 2+内流：GCaMP 6;谷氨酸释放：iGluSnFR）结合双光子成像， 研究视觉神经元的结构和功能。这些实验跨越了一系列的尺度--从树突状细胞， 细胞群体的方法-并且包括体外和体内制备。这些技术 补充最先进的行为实验-在苍蝇，小鼠和灵长类动物中进行-识别 新颖的视觉计算和它们的神经生物学关联。这些前沿研究具有很高的 创新和影响力的潜力，但它们的成功取决于定制软件和电子元件 用于实验实施和数据分析。程序员将支持设计， 用于收集和分析解剖、生理和行为数据定制软件的实现 在多个物种（苍蝇，老鼠，灵长类动物），并将促进有效的战略，数据维护和反馈 起来其他职责包括电子电路和设备驱动程序的定制设计; 与计算机硬件和电子设备;并促进计算机接口与专门的科学 设备（例如，照相机、显微镜）。

Programming Core Module Abstract The Programming Core Module's primary goal is to facilitate the wide range of computational programming required for visual system experiments and analysis at Yale. Vision research methodology has become increasingly sophisticated, requiring new computational strategies to support advanced technologies. For example, multiple vision researchers at Yale now routinely use genetically-encoded fluorescent sensors of neural activity (e.g., Ca2+ influx: GCaMP6; glutamate release: iGluSnFR) combined with two-photon imaging to study the structure and function of visual neurons. These experiments span a range of scales – from dendritic processes to cell populations – and encompass both in vitro and in vivo preparations. These techniques complement state-of-the-art behavioral experiments – performed in flies, mice and primates – that identify novel visual computations and their neurobiological correlates. These cutting-edge studies have a high potential for innovation and impact, but their success depends on custom software and electronic components for experiment implementation and data analysis. The Programmer will support the design and implementation of custom software for collecting and analyzing anatomical, physiological and behavioral data in multiple species (fly, mouse, primate) and will facilitate efficient strategies for data maintenance and back up. Additional duties include custom design of electronic circuits and device drivers; troubleshooting problems with computer hardware and electronics; and facilitating computer interface with specialized scientific equipment (e.g., cameras, microscopes).