神经预印本平台：基于人工智能的全脑神经元形态测量开放数据库构建与动态挖掘
NeuroXiv: AI-powered open databasing and dynamic mining of brain-wide neuron morphometry.
作者信息
Jiang Shengdian, Wang Lijun, Yun Zhixi, Chen Hanbo, Liu Lijuan, Yao Jianhua, Peng Hanchuan
机构信息
New Cornerstone Science Laboratory, SEU-ALLEN Joint Center, Institute for Brain and Intelligence, Southeast University, Nanjing, China.
School of Computer Science and Engineering, Southeast University, Nanjing, China.
出版信息
Nat Methods. 2025 Apr 29. doi: 10.1038/s41592-025-02687-2.
Neuron morphology has been extensively reconstructed at the whole-brain scale by various projects in recent years. Here, to facilitate interactive exploration in a standardized and scalable manner, we introduce NeuroXiv (neuroxiv.org), a large-scale database containing 175,149 reconstructed neuron morphologies mapped to the Common Coordinate Framework Version 3 (CCFv3). In addition, NeuroXiv incorporates an AI-powered mining engine (AIPOM) for dynamic, user-specific data mining, delivering enhanced performance via a custom client program.
近年来，通过各种项目，神经元形态已在全脑尺度上得到广泛重建。在此，为了以标准化和可扩展的方式促进交互式探索，我们引入了NeuroXiv（neuroxiv.org），这是一个大规模数据库，包含175,149个重建的神经元形态，并映射到通用坐标框架版本3（CCFv3）。此外，NeuroXiv还集成了一个人工智能驱动的挖掘引擎（AIPOM），用于动态的、用户特定的数据挖掘，通过定制客户端程序提供增强的性能。
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