Neural Connectivity Resource Core

神经连接资源核心

基本信息

批准号：
10438691
负责人：
Hillel Adesnik
金额：
$ 16.96万
依托单位：
COLUMBIA UNIVERSITY HEALTH SCIENCES
依托单位国家：
美国
项目类别：
财政年份：
2018
资助国家：
美国
起止时间：
2018-09-15 至 2024-06-30
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/10438691
关键词：
Address Anatomy Animals Autopsy Brain Brain imaging Brain region Calcium Cells Cellular Structures Data Development Electrophysiology (science)Genetic Transcription Goals Image In Vitro Individual Interneurons Knowledge Maps Measures Microscopy Modeling Mus Neuraxis Neurons Pattern Population Prevalence Pyramidal Cells RNA Recurrence Research Project Grants Resolution Resources Rodent Role Sampling Slice Somatostatin Stimulus Synapses Technology Testing Thalamic structure Theoretical model Time Tissues V1 neuron Viral Vision Visual Visual Cortex Work base cell type connectome experimental study in vivo in vivo imaging mouse model neural circuit optogenetics orientation selectivity patch clamp predictive modeling preference presynaptic prevent relating to nervous system response retinotopic sensory input spatial relationship theories tool visual processing visual stimulus

项目摘要

ABSTRACT An accurate and predictive model of the function and dynamics of any neural circuit requires a complete picture of the synaptic connections between all of its composite cell types. Despite extensive work, we still lack such a diagram in V1, or for any other neural circuit in the mammalian central nervous system. The goal of the Neural Connectivity Resource Core is to combine in vivo multiphoton optogenetic circuit mapping with functional calcium imaging and post-hoc seqFISH RNA profiling to obtain the functional connectome of all transcriptionally distinguishable V1 cell types – that is a complete connectivity diagram between all of V1’s component cell types, specifically including data on the strength and short-term plasticity of the unitary monosynaptic connections between each cell type. It will thus provide critical support to the theoretical modeling projects that require these data to build accurate models of V1 dynamics. Furthermore, by working in vivo, this resource core will map synaptic connectivity onto neurons that will also be functionally characterized with respect to their responses to visual stimuli. This will permit direct correlation between visual responses, synaptic connectivity and dynamics, and transcriptional identity at the cellular level. This knowledge is critical for constraining our development of the most accurate and predictive theoretical models of visual cortical dynamics and computation.

抽象的任何神经回路的功能和动力学的准确预测模型都需要完整的图片尽管进行了大量工作，我们仍然缺乏这样的复合细胞类型之间的突触连接。 V1 中的图，或哺乳动物中枢神经系统中的任何其他神经回路神经的目标。连接资源核心是将体内多光子光遗传学电路映射与功能钙结合起来成像和事后 seqFISH RNA 分析，以获得所有转录的功能连接组可区分的 V1 细胞类型 – 这是所有 V1 组成细胞类型之间的完整连接图，特别包括有关单一单突触连接的强度和短期可塑性的数据因此，它将为需要这些的理论建模项目提供关键支持。此外，通过在体内工作，该资源核心将绘制出 V1 动力学的准确模型。神经元上的突触连接也将根据其响应进行功能表征这将允许视觉反应、突触连接和动力学之间的直接关联，这些知识对于限制我们的发展至关重要。视觉皮层动力学和计算的最准确和预测的理论模型。