How do patterns of brain activity emerge during early life?

生命早期的大脑活动模式是如何出现的？

• 批准号: DP200101847
• 负责人: Prof Geoffrey Goodhill
• 金额: $ 38.45万
• 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: 2020
• 资助国家: 澳大利亚
• 起止时间: 2020-01-01 至 2022-11-18
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DP200101847
• 关键词: How; do; patterns; brain; activity

This project uses theory and experiment to investigate how neural coding emerges in the developing brain. It adopts the larval zebrafish as a model system, because neural activity can be recorded at whole-brain scale but with single neuron resolution. The project expects to generate new knowledge regarding how neural activity comes to represent sensory stimuli, and new statistical models for interpreting large-scale patterns of neural activity. This will provide significant benefits including greater insight into normal brain development, and the formulation of new concepts potentially relevant for brain-inspired computing. The expected outcomes also include enhanced capacity at the interface between neuroscience and computation.

该项目利用理论和实验来研究神经编码如何在发育中的大脑中出现。它采用斑马鱼幼体作为模型系统，因为神经活动可以在全脑范围内记录，但具有单神经元分辨率。该项目期望产生关于神经活动如何代表感觉刺激的新知识，以及用于解释大规模神经活动模式的新统计模型。这将提供显着的好处，包括更深入地了解正常的大脑发育，以及制定与类脑计算潜在相关的新概念。预期成果还包括增强神经科学和计算之间的接口能力。