Large-scale imaging of neuronal activities is crucial for understanding brain functions. However, it is challenging to analyze large-scale imaging data in real time, preventing closed-loop investigation of neural circuitry. Here we develop a real-time analysis system with a field programmable gate array–graphics processing unit design for an up to 500-megabyte-per-second image stream. Adapted to whole-brain imaging of awake larval zebrafish, the system timely extracts activity from up to 100,000 neurons and enables closed-loop perturbations of neural dynamics.

中文翻译：

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大规模神经元成像的实时分析能够实现神经动力学的闭环研究

神经元活动的大规模成像对于理解大脑功能至关重要。然而，实时分析大规模成像数据具有挑战性，阻碍了神经回路的闭环研究。在这里，我们开发了一种实时分析系统，采用现场可编程门阵列图形处理单元设计，可处理高达每秒 500 兆字节的图像流。该系统适用于清醒斑马鱼幼虫的全脑成像，可及时提取多达 100,000 个神经元的活动，并实现神经动力学的闭环扰动。