Cortical Interactions Underlying Sensory Representations

感官表征下的皮质相互作用

• 批准号: 10438601
• 负责人: Jerry L Chen
• 金额: $ 37.95万
• 依托单位: BOSTON UNIVERSITY (CHARLES RIVER CAMPUS)
• 依托单位国家: 美国
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-09-30 至 2024-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10438601
• 关键词: Affect; Anatomy; Area; Axon; Base Pairing; Behavior; Biological Models; Brain; Calcium; Color; Complex; Computer Models; Decision Making; Dissection; Environment; Exhibits; Feedback; Future; Goals; Human; Image; Implant; Lateral; Measures; Mediating; Memory; Methods; Microscope; Modeling; Motor Cortex; Mus; Neocortex; Neurons; Outcome; Parvalbumins; Pathway interactions; Perception; Play; Primates; Process; Recurrence; Resolution; Role; Route; Sampling; Sensory; Short-Term Memory; Somatostatin; Stimulus; Tactile; Testing; Theoretical model; Time; Vibrissae; Work; anatomical tracing; base; cognitive function; comparative; experience; experimental study; improved; inhibitory neuron; insight; long term memory; mouse model; nervous system disorder; neuronal cell body; nonhuman primate; novel; optogenetics; predictive modeling; response; sensory input; sensory mechanism; somatosensory; tool; two-photon

PROJECT SUMMARY Sensory perception involves processing incoming sensory input and interpreting that information through rules generated from prior experience. Stimulus features need to be bound together to form more complex sensory representations and then associated with a valence or action outcome to give meaning to those representations. In the mammalian neocortex, the formation of sensory representations is believed to occur through processing that is distributed across several cortical areas. Beyond this general framework, the exact circuits and computations involved in transforming sensory information into increasingly abstract representations remain unknown. To achieve a deeper mechanistic understanding, it is necessary to close the loop between theoretical models and experimental work and to identify common mechanisms through comparative approaches across model systems. Many of the leading theoretical models for sensory processing have been derived from experimental studies performed in humans or non-human primates. It has been difficult to validate or refine these computational models because of the limited experimental access to tools for circuit-level dissection in those species. However, novel tools for circuit dissection are now available for applications in mice. Using newly developed whisker-based mouse behaviors that recapitulate perceptual tasks in primates, we propose to investigate how stimulus information is encoded and transformed across primary somatosensory, secondary somatosensory, and perirhinal cortex, three prominent reciprocally connected areas that function at increasingly complex stages of sensory processing. Our goal is to achieve a circuit-level understanding for how stimuli are bound to generate higher-order representations, how such representations are associated with action outcomes, and how they are learned and recalled as required for behavior. This work will provide critical new insight into how local and long-range cortical circuits function to build internal representations and evaluate the external environment. By testing and improving upon models of cortical function across mammalian species, we will seek to derive common principles of circuit function that explain how increasingly invariant and abstract representations may be encoded and implemented in the neocortex.

项目概要 感官知觉涉及处理传入的感官输入并通过规则解释该信息 由先前的经验产生。刺激特征需要结合在一起以形成更复杂的感觉 表示，然后与价或行动结果相关联，以赋予这些表示以意义。 在哺乳动物新皮质中，感觉表征的形成被认为是通过 分布在几个皮质区域的处理。除了这个总体框架之外，确切的 将感觉信息转化为越来越抽象的电路和计算 相关陈述仍未知。为了获得更深入的机制理解，有必要关闭 理论模型和实验工作之间的循环，并通过以下方式确定共同机制 跨模型系统的比较方法。许多领先的感官理论模型 处理过程源自对人类或非人类灵长类动物进行的实验研究。它 由于实验有限，很难验证或完善这些计算模型 获得对这些物种进行电路级解剖的工具。然而，用于电路剖析的新颖工具是 现在可用于小鼠。使用新开发的基于胡须的鼠标行为 概括灵长类动物的感知任务，我们建议研究刺激信息是如何编码的 并转化初级体感、次级体感和鼻周皮层，三个 在感觉处理日益复杂的阶段发挥作用的突出的相互连接区域。我们的 目标是实现对刺激如何产生高阶的电路级理解 表征，这些表征如何与行动结果相关联，以及如何学习它们 并根据行为需要进行回忆。这项工作将为本地和远程如何 皮质回路的功能是构建内部表征并评估外部环境。通过测试和 改进哺乳动物物种的皮质功能模型，我们将寻求得出共同原则 电路函数解释了如何对越来越多的不变和抽象表示进行编码和 在新皮质中实施。

项目成果

Dense functional and molecular readout of a circuit hub in sensory cortex.

感觉皮层电路枢纽的密集功能和分子读数。

• 发表时间: 2022-01-07
• 作者: Condylis, Cameron;Ghanbari, Abed;Manjrekar, Nikita;Bistrong, Karina;Yao, Shenqin;Yao, Zizhen;Nguyen, Thuc Nghi;Zeng, Hongkui;Tasic, Bosiljka;Chen, Jerry L
• 通讯作者: Chen, Jerry L

Flexible simultaneous mesoscale two-photon imaging of neural activity at high speeds.

神经活动的灵活同时介观双光子高速成像。

• 发表时间: 2021-11-17
• 影响因子: 16.6
• 作者: Clough, Mitchell;Chen, Ichun Anderson;Park, Seong;Ahrens, Allison M;Stirman, Jeffrey N;Smith, Spencer L;Chen, Jerry L
• 通讯作者: Chen, Jerry L

CELLULAR RESOLUTION IMAGING OF NEURONAL ACTIVITY ACROSS SPACE AND TIME IN THE MAMMALIAN BRAIN.

哺乳动物大脑中跨空间和时间的神经元活动的细胞分辨率成像。

• 发表时间: 2019-12
• 作者: Clough, Mitchell;Chen, Jerry L
• 通讯作者: Chen, Jerry L

Context-Dependent Sensory Processing across Primary and Secondary Somatosensory Cortex.

初级和次级体感皮层的上下文相关的感觉处理。

• 发表时间: 2020
• 影响因子: 16.2
• 作者: Condylis, Cameron;Lowet, Eric;Ni, Jianguang;Bistrong, Karina;Ouellette, Timothy;Josephs, Nathaniel;Chen, Jerry L
• 通讯作者: Chen, Jerry L

jYCaMP: an optimized calcium indicator for two-photon imaging at fiber laser wavelengths.

jYCaMP：一种优化的钙指示剂，用于光纤激光波长下的双光子成像。

• 发表时间: 2020
• 影响因子: 48
• 作者: Mohr, Manuel Alexander;Bushey, Daniel;Aggarwal, Abhi;Marvin, Jonathan S;Kim, Jeong Jun;Marquez, Emiliano Jimenez;Liang, Yajie;Patel, Ronak;Macklin, John J;Lee, Chi;Tsang, Arthur;Tsegaye, Getahun;Ahrens, Allison M;Chen, Jerry L;Kim, Dougla
• 通讯作者: Kim, Dougla