Cell-type-specific control of information flow between brain regions

摘要/摘要，项目5 该项目的目标是全面检查，在单神经元分辨率， 在做决定的过程中，大脑会传递信息。利用专业知识， 知识，以及从国际脑实验室成员那里获得的数据， 并研究了这项任务，所提出的方法结合了新颖的，先进的技术， 高分辨率生理记录和解剖追踪，以确定 区域间交流的基础。根据广泛的功能和结构 大脑中神经元的多样性（例如，听觉皮层中的神经元至少可以投射到 11个不同的目标，形成264个不同的投影模式），所提出的实验测试 一个中心假设，即特定的特权亚群介导了信息在 以国家为依托。这些亚群将根据 转录定义的细胞亚型（Aim 1）和投射类型或基序（Aim 2）。体内二- 光子钙成像将与体外转录和解剖特征分析相结合， 通过测序解析的新型条形码化解剖结构（BARseq）技术鉴定同一性。巴尔塞克群岛 用于识别数千或数万人的预测和/或遗传标记， 神经元同时在一个动物。因为这两种技术都是基于 成像，体内数据将与体外数据配准，以支持结构-功能，状态- 在单神经元水平上的独立见解。这些目标的区域和电路 实验将由项目1和2的结果通知。反过来，这里产生的结果 在项目5中，将通知项目3中提出的建模工作。

Summary/Abstract, Project 5 The goal of this project is to comprehensively examine, at single-neuron resolution, the flow of information through the brain during a decision-making task. Leveraging the expertise, knowledge, and data gained from International Brain Laboratory members who have designed and studied this task, the proposed approach combines novel, advanced techniques for high- throughput, high-resolution physiological recordings and anatomical tracing to determine the substrates of inter-regional communication. In light of the extensive functional and structural diversity of neurons in the brain (for example, neurons in the auditory cortex can project to at least 11 different targets, forming 264 distinct projection patterns), the proposed experiments test the central hypothesis that specific privileged subpopulations mediate the flow of information between regions in a state-dependent manner. Such subpopulations will be identified based on transcriptionally defined cell subtypes (Aim 1) and projection types or motifs (Aim 2). In vivo two- photon calcium imaging will be combined with in vitro profiling of transcriptional and anatomical identity via the novel barcoded anatomy resolved by sequencing (BARseq) technique. BARseq is used to identify the projections and/or genetic markers of thousands or tens of thousands of neurons simultaneously in a single animal. Because the two techniques are both based on imaging, the in vivo data will be registered with in vitro data to support structure-function, state- dependent insights at the single-neuron level. The regions and circuits targeted in these experiments will be informed by the results of Projects 1 and 2. In turn, the results generated here in Project 5 will inform the modeling work proposed in Project 3.