Visual representations across cortical areas

项目总结 视觉刺激驱动一系列大脑区域的活动，包括初级视觉皮质(V1)和高级视觉 面积(HVAS)。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在表示视觉刺激的方式上也会有所不同。我们最近的结果揭示了一个 鼠标中的HVA子集可以在运动和纹理的表示上有所不同。然而，我们还没有 这是一幅完整的图画，说明在视觉引导行为过程中，Hva对视觉刺激的表征是如何变化的。 此外，尚不清楚神经电路如何支持hva-specific表示的组件。 视觉刺激。在这个项目中，我们将提供一个Defi动态描述复杂视觉刺激的成分是如何 在行为正常的小鼠的大脑皮层区域都有表达。此外，我们将使用新的统计测量方法 跨皮质区域神经元活动的依赖性，以推断群体活动编码和回路的原理 组织。这项工作将利用我们实验室帮助开发的几项技术：大型fi字段- 可视双光子钙成像、开放世界的老鼠自然虚拟现实和先进的分析工具 基于经典方法和现代统计分析。这项工作的结果将揭示真知灼见 HVAS如何将复杂的视觉刺激解析为能够指导适应行为的表征。

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.