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互动数据探索网站大规模的电生理学
Daniel Birman1, Gaelle Chapuis2, Mayo Faulkner3
1University of Washington, USA.
bioRxiv : the preprint server for biology
|June 25, 2024
概括
新的网站提供了用于探索大规模神经科学数据集的直观工具,允许跨平台访问大脑范围的数据,并为未来研究促进开源开发.
科学领域:
- 神经科学是一个神经科学.
- 计算神经科学是一种神经科学.
- 科学数据可视化 科学数据可视化
背景情况:
- 神经科学研究产生了大量的数据集,需要先进的沟通工具.
- 当前的数据存储平台缺乏对大脑数据的直观探索功能.
研究的目的:
- 引入公共网站,以便访问和探索国际大脑实验室 (IBL) 数据集.
- 提供跨平台,无需安装的工具,用于与大规模的神经科学数据进行交互.
主要方法:
- 开发两个公共网站:数据和Atlas.
- 实现模块化,开源框架的Web接口代码.
- 托管数据接口作为跨平台网站.
主要成果:
- 数以百万计的行为试验和数十万个神经元是可访问的.
- 用户可以在多个尺度上 (整个大脑,会话,试验,神经元) 探索大脑范围内的数据.
- 开源代码允许其他研究人员定制和开发类似的工具.
结论:
- 可定制的网络接口对于简化探索不断扩大的神经科学数据集至关重要.
- 这些工具作为未来科学数据探索平台的蓝图.
- 公共可访问,交互式数据平台增强科学合作和发现.
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