Visual representations across cortical areas

跨皮质区域的视觉表征

• 批准号: 10720549
• 负责人: SPENCER LAVERE SMITH
• 金额: $ 38.88万
• 依托单位: UNIVERSITY OF CALIFORNIA SANTA BARBARA
• 依托单位国家: 美国
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-09-01 至 2027-06-30
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10720549
• 关键词: Adaptive Behaviors; Animals; Anterolateral; Area; Behavior; Behavioral; Brain; Brain region; Calcium; Code; Complex; Data; Dependence; Development; Exhibits; Frequencies; Generations; Image; Individual; Investigation; Measurement; Measures; Medial; Modeling; Modernization; Motion; Mus; Neurons; Noise; Photic Stimulation; Population; Process; Prosthesis; Recovery; Resolution; Statistical Data Interpretation; Stimulus; Structure; System; Technology; Testing; Texture; Time; V1 neuron; Vision; Visual; Visual Cortex; Work; area striata; density; extrastriate visual cortex; imaging system; insight; multi-photon; multiphoton imaging; neural; neural circuit; neural model; novel; optic flow; optogenetics; response; segregation; tool; two-photon; virtual reality; visual information; visual processing; visual stimulus

Project summary Visual stimuli drive activity across a range of brain areas, including primary visual cortex (V1) and higher visual areas (HVAs). These HVAs vary in their downstream connectivity to support a range of visually guided behaviors. Similarly, these HVAs can vary in how they represent visual stimuli. Our recent results have revealed how a subset of HVAs in the mouse can vary in representations of motion and texture. However, we do not yet have a complete picture of how HVAs vary in their representations of visual stimuli during visually guided behavior. Moreover, it remains unclear how neural circuitry can support HVA-specific representations of components of visual stimuli. In this project, we will provide a definitive account of how components of complex visual stimuli are represented across cortical areas in behaving mice. Moreover, we will use novel measurements of statistical dependencies of neuronal activity across cortical areas to infer principles of population activity coding and circuit organization. This work will take advantage of several technologies our lab has helped to develop: large field- of-view two-photon calcium imaging, open-world naturalistic virtual reality for mice, and advanced analysis tools based on both classic approaches and modern statistical analysis. The results from this work will reveal insights into how HVAs parse complex visual stimuli into representations that can guide adaptive behavior.

项目摘要 视觉刺激驱动一系列大脑区域的活动，包括初级视觉皮层（V1）和高级视觉皮层（V2）。 地区（HVA）。这些HVAs在其下游连接性方面有所不同，以支持一系列视觉引导的行为。 类似地，这些HVAs可以在它们如何表示视觉刺激方面有所不同。我们最近的研究结果揭示了 小鼠中的HVA的子集可以在运动和纹理的表示中变化。然而，我们还没有 一个完整的图片如何HVAs变化，在视觉引导行为的视觉刺激的代表。 此外，目前还不清楚神经回路如何支持HVA特异性表征的组成部分， 视觉刺激在这个项目中，我们将提供一个复杂的视觉刺激的组成部分如何详细说明， 在行为正常的老鼠的大脑皮层区域都有代表性。此外，我们将使用新的统计测量方法， 通过皮层区域神经元活动的依赖性来推断群体活动编码和回路的原理 organization.这项工作将利用我们实验室帮助开发的几项技术： 视野双光子钙成像，开放世界的自然主义虚拟现实小鼠，和先进的分析工具 基于经典方法和现代统计分析。这项工作的结果将揭示 HVA如何将复杂的视觉刺激解析为能够引导适应行为的表征。