How do patterns of brain activity emerge during early life?

这个项目使用理论和实验来研究神经编码是如何在发育中的大脑中出现的。它采用斑马鱼幼虫作为模型系统，因为神经活动可以在全脑范围内记录，但只有单个神经元的分辨率。该项目期望产生关于神经活动如何表现感官刺激的新知识，以及解释大规模神经活动模式的新统计模型。这将提供显著的好处，包括更深入地了解正常的大脑发育，以及制定与大脑启发计算潜在相关的新概念。预期的结果还包括增强神经科学和计算之间的接口能力。

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.