Ultra-high speed imaging of neuronal activity during behaviour

行为过程中神经元活动的超高速成像

• 批准号: 2673867
• 金额: --
• 依托单位: University of Edinburgh
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2021
• 资助国家: 英国
• 起止时间: 2021 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2673867
• 关键词: Ultra; speed; imaging; neuronal; activity

Learning and memory are associated with oscillations in the activity of neural networks in the hippocampus and its associated structures. Many theories of memory propose key roles for these oscillations in memory storage and retrieval, but testing these ideas requires new approaches to determine the activity of defined neural populations during network oscillations that accompany learning and memory. To address this challenge the project will develop and apply state-of-the-art tools to enable kilohertz frame rate imaging of neural activity reported by genetically encoded voltage sensors targeted to specific neural populations. The project will provide training in the development of imaging tools and cutting edge methods for systems neuroscience. The project will be well suited to candidates aiming to apply engineering skills to neuroscience questions, or to candidates with a strong background in neuroscience who wish to contribute to development of transformative new technologies. All candidates should aim to contribute to a new understanding of brain function and provide a foundation for novel future investigations of brain disorders.

学习和记忆与海马体及其相关结构中神经网络活动的振荡有关。许多记忆理论提出了这些振荡在记忆存储和提取中的关键作用，但测试这些想法需要新的方法来确定在伴随学习和记忆的网络振荡期间定义的神经群体的活动。为了应对这一挑战，该项目将开发和应用最先进的工具，以实现针对特定神经群体的遗传编码电压传感器报告的神经活动的千赫兹帧速率成像。该项目将提供系统神经科学成像工具和尖端方法开发方面的培训。该项目将非常适合希望将工程技能应用于神经科学问题的候选人，或者希望为开发变革性新技术做出贡献的具有强大神经科学背景的候选人。所有候选人都应该致力于对大脑功能的新理解做出贡献，并为未来对大脑疾病的新颖研究提供基础。