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 视觉刺激驱动活动遍布各种大脑区域，包括主要视觉皮层（V1）和较高的视觉 区域（HVA）。这些HVA在其下游连接性方面有所不同，以支持一系列视觉引导行为。 同样，这些HVA在代表视觉刺激的方式上可能会有所不同。我们最近的结果揭示了如何 小鼠中HVA的子集在运动和纹理的表示中可能有所不同。但是，我们还没有 在视觉引导行为期间，HVA在视觉刺激的表现中如何变化的完整图片。 此外，尚不清楚神经回路如何支持HVA的特定表述 视觉刺激。在这个项目中，我们将对复杂的视觉刺激的组成部分提供明确的说明 在行为小鼠的皮质区域内表示。此外，我们将使用统计数据的新颖测量 跨皮质区域神经元活动的依赖性推断人口活动编码原理和电路原理 组织。这项工作将利用我们的实验室帮助开发的几种技术：大型领域 视图的两光子钙成像，小鼠的开放世界自然主义虚拟现实和高级分析工具 基于经典方法和现代统计分析。这项工作的结果将揭示见解 HVA如何将复杂的视觉刺激解析为可以指导自适应行为的表示。