Cortical Interactions Underlying Sensory Representations

感官表征下的皮质相互作用

• 批准号: 9789710
• 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 2023-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9789710
• 关键词: Affect; Anatomy; Area; Axon; Base Pairing; Behavior; Biological Models; Brain; Calcium; Color; Complex; Computer Simulation; 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.

项目摘要 感官感知涉及处理传入的感官输入并通过规则解释该信息 从先前的经验产生。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，以赋予这些表示的意义。 在哺乳动物的新皮层中，据信感官表示形成是通过 分布在几个皮质区域的处理。除了这个一般框架之外，确切的 将感觉信息转换为越来越抽象的电路和计算 表示形式仍然未知。为了获得更深入的理解，有必要关闭 理论模型和实验工作之间的循环，并通过 模型系统之间的比较方法。许多领先的感官理论模型 加工是从人类或非人类灵长类动物进行的实验研究中得出的。它 由于实验有限，很难验证或完善这些计算模型 访问这些物种中电路级解剖的工具。但是，新颖的电路解剖工具是 现在可用于小鼠的应用。使用新开发的基于晶须的鼠标行为 概括灵长类动物中的感知任务，我们建议研究如何编码刺激信息 并在原发性体感，次级体感和周围皮质中转变，三个 在感觉处理越来越复杂的阶段起作用的突出相互连接的区域。我们的 目标是实现电路级的理解，以了解刺激如何产生高阶 表示形式，这种表示与行动成果如何相关的以及如何学习 并根据行为要求进行召回。这项工作将为本地和远程如何提供关键的新见解 皮质电路功能以构建内部表示并评估外部环境。通过测试和 改善跨哺乳动物物种的皮质功能模型，我们将寻求得出共同的原理 电路函数的解释如何编码越来越不变和抽象的表示 在新皮层中实施。