Readout and control of spatiotemporal neuronal codes for behavior

行为时空神经元代码的读出和控制

• 批准号: 10618093
• 负责人: Behtash Babadi
• 金额: $ 10.76万
• 依托单位: UNIVERSITY OF CHICAGO
• 依托单位国家: 美国
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-09-15 至 2024-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10618093
• 关键词: Address; Animals; Area; Attention; Auditory system; Award; BRAIN initiative; Behavior; Behavioral; Brain; Brain region; Cells; Code; Complex; Consensus; Data; Data Set; Development; Diagnosis; Discrimination; Esthesia; Funding; Goals; Image; Learning; Maps; Methodology; Methods; Microscopic; Nervous system structure; Neurons; Odors; Olfactory Pathways; Optics; Organism; Parents; Pattern; Perception; Phase; Population; Process; Resolution; Sampling; Sensory; Shapes; Speed; Stimulus; Techniques; Technology; Testing; Visual system structure; Work; awake; base; experience; experimental study; falls; functional group; improved; mitral cell; multidisciplinary; multiphoton imaging; nervous system disorder; neural patterning; neuronal patterning; next generation; novel; olfactory bulb; optogenetics; relating to nervous system; response; sensory stimulus; spatiotemporal; theories; tool; two-photon

SUMMARY OF THE FUNDED PROJECT To survive, organisms must both accurately represent stimuli in the outside world and use that representation to generate beneficial behavioral actions. Historically, these two processes – the mapping from stimuli to neural responses, and the mapping from neural activity to behavior – have largely been treated separately. Of the two, the former has received the most attention. Often referred to as the “neural coding problem,” its goal is to determine which features of neural activity carry information about external stimuli. This approach has led to many empirical and theoretical proposals about the spatial and temporal features of neural population activity, or “neural codes,” that represent sensory information. However, there is still no consensus about the neural code for most sensory stimuli in most areas of the nervous system. The lack of consensus arises in part because, while it is established that certain features of neural population responses carry information about specific stimuli, it is unclear whether the brain uses (“reads”) the information in these features to form sensory perceptions. We have developed a theoretical framework, based on the intersection of coding and readout, to approach this problem. Experimentally informing this framework requires manipulating patterns of neuronal activity based on, and at the same spatiotemporal scale as, their natural firing patterns during sensory perception. This work must be done in behaving animals because it is essential to know which neural codes guide behavioral decisions. In the first phase of this project (funded by the BRAIN Initiative), we developed the technology necessary for realizing this goal. In the present proposal, we will further explore our patterned neuronal stimulation technology developed under the parent U19 to answer outstanding questions about neural coding and readout in the olfactory system that remain unaddressed to date under the parent award. We will pioneer the capacity to determine what neural dynamics within a population of cells are encoding behaviorally relevant information, and to determine the functional connectivity between these cells constituting this population. We will also develop tools and analysis methods to make targeted perturbations with holographic photostimulation to probe these dynamics to determine how they guide behavior. Finally, we will study neural coding principles across changes in behavioral state and during learning to determine how internal context and experience shape coding and readout. The contributions of the proposed work will be three-fold. First, we will both use and develop tools from the parent U19 to test theories of how neural populations encode and decode information throughout the brain. Second, we will reveal fundamental principles of spatiotemporal neural coding and readout in the olfactory systems of behaving animals using our data under the parent award to as a jumping off point. And third, theoretical frameworks for analyzing these novel data set will be pioneered.

获得资助的项目摘要 为了生存，有机体必须准确地表示外部世界的刺激，并使用 以产生有益的行为行为。从历史上看，这两个过程- 从刺激到神经反应的映射，以及从神经活动到行为的映射 很大程度上是单独治疗的。在两者中，前者受到的关注最多。经常被提及 作为神经编码问题，它的目标是确定神经活动的哪些特征 有关外部刺激的信息。这种方法产生了许多经验性和理论性的建议 关于神经种群活动的空间和时间特征，或代表 感官信息。然而，对于大多数感官刺激的神经编码仍然没有达成共识 在神经系统的大部分区域。缺乏共识的部分原因是，尽管它是 确定了神经群体反应的某些特征携带着关于特定刺激的信息， 目前还不清楚大脑是否使用(“阅读”)这些特征中的信息来形成感觉 感知。我们已经开发了一个理论框架，基于编码和 读数，来解决这个问题。在实验中告知这个框架需要操纵 基于其自然放电的神经元活动模式，并且在与其相同的时空尺度上 感觉知觉过程中的模式。这项工作必须在动物身上进行，因为它是必不可少的 以了解哪些神经编码指导行为决策。在这项计划的第一阶段(由 大脑倡议)，我们开发了实现这一目标所需的技术。 在目前的方案中，我们将进一步探索我们的图案化神经元刺激技术 在父代U19下开发，以回答有关神经编码和 在嗅觉系统中的读数，在父母奖下到目前为止仍然没有被解决。我们会 开创性地确定一组细胞内的神经动力学正在编码什么 行为相关信息，并确定这些细胞之间的功能连接 构成了这个群体。我们还将开发工具和分析方法，以便有针对性地 用全息光刺激来探测这些动力学的微扰，以确定它们如何引导 行为。最后，我们将研究神经编码原理，跨越行为状态的变化和 学习如何确定内部环境和经验如何塑造编码和读出。做出的贡献 拟议的工作将是三个方面的。首先，我们将使用和开发来自父U19的工具来 测试神经群体如何在整个大脑中编码和解码信息的理论。第二, 我们将揭示在嗅觉中时空神经编码和读出的基本原理 动物的行为系统使用我们在父母奖励下的数据作为起点。第三， 将开创分析这些新数据集的理论框架。

项目成果

Scale-Free Dynamics in Animal Groups and Brain Networks.

• DOI: 10.3389/fnsys.2020.591210
• 发表时间: 2020
• 期刊: Frontiers in systems neuroscience
• 影响因子: 3
• 作者: Ribeiro TL;Chialvo DR;Plenz D
• 通讯作者: Plenz D

Computation of the electroencephalogram (EEG) from network models of point neurons.

• DOI: 10.1371/journal.pcbi.1008893
• 发表时间: 2021-04
• 期刊: PLoS computational biology
• 影响因子: 4.3
• 作者: Martínez-Cañada P;Ness TV;Einevoll GT;Fellin T;Panzeri S
• 通讯作者: Panzeri S

A deep-learning approach for online cell identification and trace extraction in functional two-photon calcium imaging.

• DOI: 10.1038/s41467-022-29180-0
• 发表时间: 2022-03-22
• 期刊: Nature communications
• 影响因子: 16.6
• 作者: Sità L;Brondi M;Lagomarsino de Leon Roig P;Curreli S;Panniello M;Vecchia D;Fellin T
• 通讯作者: Fellin T

Parabolic avalanche scaling in the synchronization of cortical cell assemblies.

• DOI: 10.1038/s41467-023-37976-x
• 发表时间: 2023-05-03
• 期刊: NATURE COMMUNICATIONS
• 影响因子: 16.6
• 作者: Capek, Elliott;Ribeiro, Tiago L.;Kells, Patrick;Srinivasan, Keshav;Miller, Stephanie R.;Geist, Elias;Victor, Mitchell;Vakili, Ali;Pajevic, Sinisa;Chialvo, Dante R.;Plenz, Dietmar
• 通讯作者: Plenz, Dietmar

Directed information exchange between cortical layers in macaque V1 and V4 and its modulation by selective attention.

• DOI: 10.1073/pnas.2022097118
• 发表时间: 2021-03-23
• 期刊: Proceedings of the National Academy of Sciences of the United States of America
• 影响因子: 11.1
• 作者: Ferro D;van Kempen J;Boyd M;Panzeri S;Thiele A
• 通讯作者: Thiele A