用于meg和eeg数据分析的mne-python项目。
mne的Python项目详细描述
mne python
MNE-Python software是一个用于探索的开源python包, 可视化和分析人类神经生理学数据,如脑磁图、脑电图、脑电图, Ecog等等。它包括数据输入/输出,预处理, 可视化,信源估计,时频分析,连通性分析, 机器学习和统计学。
文件
MNE documentation对于mne python,可以在线获得。
安装mne python
要安装mne python的最新稳定版本,可以在终端中使用pip:
pip install -U mne
注意mne python 0.17将是支持python 2的最后一个版本。从mne python 0.18开始,只支持python 3。
有关更完整的说明和更高级的安装方法(例如 最新的开发版本),请参见getting started page。
获取最新代码
要使用pip安装最新版本的代码,请打开终端并键入:
pip install -U https://api.github.com/repos/mne-tools/mne-python/zipball/master
要使用git获取最新代码,请打开一个终端并键入:
git clone git://github.com/mne-tools/mne-python.git
或者,您也可以下载 zip file of the latest development version。
依赖性
运行mne python所需的最小依赖项为:
- python>;=3.5
- numpy=1.11.3
- scipy=0.17.1
对于完整的功能,有些功能需要:
- matplotlib>;=1.5
- mayavi>;=4.6
- Pysurfer=0.8
- SCIKIT学习>;=0.18
- 尼伯贝尔=2.1.0
- 熊猫>;=0.18
- picard=0.3
- cupy>;=4.0(用于nvidia cuda加速)
- 迪比=0.10.1
- Pylsl>;=1.12
- PyVista=0.20.1
许可
mne python是bsd许可的(3子句):
This software is OSI Certified Open Source Software. OSI Certified is a certification mark of the Open Source Initiative.
Copyright (c) 2011-2019, authors of MNE-Python. All rights reserved.
Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met:
- Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer.
- Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution.
- Neither the names of MNE-Python authors nor the names of any contributors may be used to endorse or promote products derived from this software without specific prior written permission.
This software is provided by the copyright holders and contributors “as is” and any express or implied warranties, including, but not limited to, the implied warranties of merchantability and fitness for a particular purpose are disclaimed. In no event shall the copyright owner or contributors be liable for any direct, indirect, incidental, special, exemplary, or consequential damages (including, but not limited to, procurement of substitute goods or services; loss of use, data, or profits; or business interruption) however caused and on any theory of liability, whether in contract, strict liability, or tort (including negligence or otherwise) arising in any way out of the use of this software, even if advised of the possibility of such damage.