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实时分析大规模神经元成像可以实现神经动力学的闭环研究。

Real-time analysis of large-scale neuronal imaging enables closed-loop investigation of neural dynamics.

机构信息

Institute of Neuroscience, State Key Laboratory of Neuroscience, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China.

Guangdong-Hongkong-Macau Institute of CNS Regeneration, Ministry of Education CNS Regeneration Collaborative Joint Laboratory, Jinan University, Guangzhou, China.

出版信息

Nat Neurosci. 2024 May;27(5):1014-1018. doi: 10.1038/s41593-024-01595-6. Epub 2024 Mar 11.

Abstract

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.

摘要

大规模的神经元活动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,这阻碍了对神经回路的闭环研究。在这里,我们开发了一个实时分析系统,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。该系统适应于清醒幼鱼的全脑成像,可以实时提取多达 10 万个神经元的活动,并能够对神经动力学进行闭环干扰。

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