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Crowd coding in the brain:3D imaging and control of collective neuronal dynamics

大脑中的群体编码：集体神经元动力学的 3D 成像和控制

基本信息

批准号：
9268816
负责人：
PATRICK O KANOLD
金额：
$ 15.2万
依托单位：
UNIV OF MARYLAND, COLLEGE PARK
依托单位国家：
美国
项目类别：
财政年份：
2014
资助国家：
美国
起止时间：
2014-09-30 至 2018-07-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/9268816
关键词：
Accounting Action Potentials Address Algorithms Animal Behavior Animals Area Auditory area Autistic Disorder Behavioral Binding Brain Brain Diseases Cells Cerebral Palsy Cerebral cortex Code Communication Complex Crowding Decision Making Disease Distant Engineering Epilepsy Functional disorder Goals Health Human Image Image Analysis Imaging Device Imaging technology Individual Language Light Link Location Machine Learning Maps Measurement Measures Microscope Monitor Motor Mus Neurons Outcome Study Pathology Pattern Physiological Population Population Dynamics Population Process Process Property Publishing Research Resolution Rest Sampling Scanning Schizophrenia Sensory Sensory Process Shapes Stimulus Structure Techniques Testing Three-Dimensional Imaging Use of New Techniques Work analytical tool auditory discrimination awake base behavioral outcome cell type density graph theory in vivo information processing insight millisecond neuronal circuitry novel receptive field response sensory input sensory stimulus spatiotemporal temporal measurement tool two-photon

项目摘要

DESCRIPTION (provided by applicant): The cortex is a laminated structure that is thought to underlie sequential information processing. Sensory input enters layer 4 (L4) from which activity quickly spreads to superficial layers 2/3 (L2/3) and deep layers 5/6 (L5/6) and other cortical areas eventually leading to appropriate motor responses. Sensory responses themselves depend on ongoing, i.e. spontaneous cortical activity, usually in the form of reverberating activit from within or distant cortical regions, as well as the state and behavioral context of the animal. Receptive field properties of neurons can rapidly and adaptively be reshaped when an animal is engaged in a behavioral task, indicating that encoding of stimuli is dependent on task- or context-dependent state. Responses also depend on ongoing cortical dynamics in a lamina-dependent fashion and differ between the awake and anesthetized state. The intricate neuronal interplay between behavioral context, ongoing activity, and sensory stimulus underlying cortical representations is unknown. Specifically, we do not know how neuronal circuits shape these emergent dynamics within and between laminae, and we do not know which neurons encode which aspect of a sensory stimulus. One shortcoming of all prior studies of sensory processing is that only a few neurons are sampled, and thus information about the interactions between neurons, and between neuron and global brain state is lacking. Here we address these challenges by developing new in vivo 2-photon imaging technology that allows rapid imaging and stimulation in multiple focal planes and new computational and information theoretic techniques to extract network dynamics at the single neuron and population level. These measures go beyond paired measures and take synergistic interactions between neurons into account. We use these new techniques to investigate the 3D single cell and population activity patterns in the auditory cortex in mice. We investigate the influence of single neurons relative to the synergistic influence of specific groups of neurons (the crowd) on network dynamics and ultimately behavior of the animal.

描述(申请人提供)：大脑皮层是一种层叠结构，被认为是顺序信息处理的基础。感觉输入进入第四层(L4)，从那里活动迅速扩散到浅层2/3(L2/3)和深层5/6(L5/6)和其他皮质区域，最终导致适当的运动反应。感觉反应本身取决于正在进行的，即自发的皮质活动，通常以来自皮质内部或远处的回响激活的形式，以及动物的状态和行为背景。当动物参与行为任务时，神经元的感受野特性可以迅速和自适应地重塑，这表明刺激的编码依赖于任务或上下文相关的状态。反应也依赖于正在进行的大脑皮质动力学，依赖于椎板，并且在清醒和麻醉状态下有所不同。行为背景、正在进行的活动和皮层表达下的感觉刺激之间复杂的神经元相互作用尚不清楚。具体地说，我们不知道神经元回路如何塑造板层内和板层之间的这些新出现的动态，我们也不知道哪个神经元编码感觉刺激的哪个方面。所有以前的感觉加工研究的一个缺点是，只对少数神经元进行采样，因此缺乏关于神经元之间以及神经元与整体大脑状态之间相互作用的信息。在这里，我们通过开发新的活体双光子成像技术来应对这些挑战，这种技术允许在多个焦平面上进行快速成像和刺激，以及新的计算和信息理论技术来提取单个神经元和种群水平的网络动力学。这些措施超越了配对措施，并考虑到神经元之间的协同作用。我们使用这些新技术来研究小鼠听皮层中的3D单细胞和群体活动模式。我们研究了单个神经元对特定神经元组(群体)对网络动力学和动物最终行为的协同影响。