How do patterns of brain activity emerge during early life?

该项目使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。它采用斑马鱼幼虫作为模型系统，因为神经活动可以在全脑尺度上记录，但具有单神经元分辨率。该项目预计将产生关于神经活动如何代表感官刺激的新知识，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，并制定新的概念可能与大脑启发计算。预期成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.