Research Project 1 - Developing and applying tools to probe internal state dynamics of perception and motivation

研究项目 1 - 开发和应用工具来探测感知和动机的内部状态动态

基本信息

批准号：
10047732
负责人：
Karl A. Deisseroth
金额：
$ 43.51万
依托单位：
STANFORD UNIVERSITY
依托单位国家：
美国
项目类别：
财政年份：
2021
资助国家：
美国
起止时间：
2021-09-17 至 2026-08-31
项目状态：
未结题

来源：
https://reporter.nih.gov/project-details/10047732
关键词：
3-Dimensional Animal Behavior Area Behavior Behavioral Behavioral Model Biological Brain Brain region Caliber Cell Nucleus Cells Communities Complex Data Data Set Development Dimensions Doctor of Philosophy Education and Outreach Ensure Event Fire - disasters Gene Expression Individual Laboratories Lead Learning Link Measures Methods Mission Modeling Molecular Motivation Mus Neuromodulator Neurons Noise Output Pattern Perception Play Population Dynamics Positioning Attribute Preparation Primates Probability Property Pupil Reaction Time Research Project Grants Resolution Rodent Role Satiation Sensory Signal Transduction Source Specific qualifier value Speed Stimulus Structure Technology Testing Text Thirst Time Training Typology Visual Perception Work Writing alertness area striata base cell type data modeling design experimental study interest molecular phenotype network models nonhuman primate optogenetics relating to nervous system sensory cortex sensory input theories tool vigilance visual stimulus

项目摘要

Research Project 1 - Internal state dynamics of perception and motivati0n Lead: Karl Deisseroth MD PhD Summary This project is focused on development and application of technology for probing the interaction of external sensory input with internal states of the mammalian brain. The unique leverage of our team is technology-driven experimental access to new regimes of speed, scope, and resolution in defining and tuning these internal states. First, we will quantify the population dynamics and statistical structure of time-varying spontaneous activity across the volume of primary visual cortex (with individual cells defined by position and wiring in 3D space, and by molecular identity) to test impact of spontaneous fluctuations on environmental stimulus-triggered neuronal activity and animal behavior. Next, we will quantify cortical activity during transitions among internal states (along with behaviors), impose precisely-defined ensemble activity to assess impact of state transitions on evoked population dynamics and behavior, and quantify endogenous activity influencing these states to assess natural mechanisms and effects. Finally, we will integrate our biological findings and new technological capabilities to directly and precisely impose more complex temporal dynamics of interest by controlling multiple single cells in multiple cortical regions over time. The same cells observed to be active and important in behavior will be made available for molecular phenotyping analysis, so that cell typology may be linked to the specific natural and causal roles of cells in this important domain of circuit computation and behavior.

研究项目1-内部状态感知和动机0N的动态铅：Karl Deisseroth MD博士概括该项目的重点是开发和应用技术，以探测外部的相互作用具有哺乳动物大脑内部状态的感觉输入。我们团队的独特杠杆是技术驱动的在定义和调整这些内部状态时，可以实验访问新的速度，范围和解决方案。首先，我们将量化随时间变化的自发活动的种群动态和统计结构在主要视觉皮层的体积上（单个单元格由3D空间中的位置和接线定义，通过分子身份）测试自发波动对环境刺激触发的神经元的影响活动和动物行为。接下来，我们将在内部状态之间过渡期间量化皮质活动（与行为一起），施加精确定义的合奏活动，以评估国家过渡对诱发了种群动态和行为，并量化了影响这些状态的内源性活动自然机制和效果。最后，我们将整合我们的生物学发现和新技术通过控制多个随着时间的流逝，多个皮质区域的单细胞。相同的细胞观察到行为是活跃而重要的将用于分子表型分析，以便将细胞类型学与特定有关细胞在电路计算和行为的重要领域中的自然和因果作用。