Neuronal Control of Adaptive Walking

适应性步行的神经元控制

• 批准号: DP220103391
• 负责人: Prof Barry Dickson
• 金额: $ 33.8万
• 依托单位: The University of Queensland
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Projects
• 财政年份: 2022
• 资助国家: 澳大利亚
• 起止时间: 2022-04-04 至 2025-04-03
• 项目状态: 未结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DP220103391
• 关键词: Neuronal; Control; Adaptive; Walking

This project seeks to understand how signals from the brain control motor circuits so that an animal can adaptively walk across varying terrains in pursuit of its ever-changing goals. It will focus on the fruit fly, Drosophila, as a model. The fly is an agile walker, its nervous system has been almost fully mapped at the synaptic level, and genetic reagents are available to selectively measure or manipulate the activity of single neurons. This project specifically focuses on the circuits that generate forward and backward walking, and switch between the two. It will enhance Australia's capacity in connectome-driven neuroscience research, deliver fundamental insights into neuronal motor control, and inspire the design of more agile robots.

该项目旨在了解来自大脑的信号如何控制运动电路，以便动物能够适应性地在不同的地形中行走，以追求不断变化的目标。它将以果蝇为模型。果蝇是一种敏捷的步行者，它的神经系统在突触水平上几乎已经被完全映射，并且可以使用遗传试剂来选择性地测量或操纵单个神经元的活动。这个项目特别关注产生向前和向后行走的电路，以及在两者之间切换。它将增强澳大利亚在连接体驱动的神经科学研究方面的能力，为神经元运动控制提供基本见解，并激发更敏捷机器人的设计。