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.

项目概要 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 这些 HVA 的下游连接各不相同，以支持一系列视觉引导行为。 同样，这些 HVA 在表示视觉刺激的方式上也有所不同，我们最近的结果揭示了如何表现视觉刺激。 鼠标中的 HVA 子集在运动和纹理的表示方面可能有所不同，但是我们还没有。 完整描述 HVA 在视觉引导行为期间视觉刺激的表征如何变化。 此外，目前还不清楚神经回路如何支持 HVA 特定组件的表示。 在这个项目中，我们将提供复杂视觉刺激的组成部分的明确说明。 此外，我们将使用新的统计测量方法。 跨皮质区域的神经活动依赖性，以推断群体活动编码和电路的原理 这项工作将利用我们实验室帮助开发的多项技术：大领域- 视场外双光子钙成像、小鼠开放世界自然虚拟现实以及先进的分析工具 这项工作的结果将基于经典方法和现代统计分析揭示见解。 研究 HVA 如何将复杂的视觉刺激解析为可以指导适应性行为的表示。