iliang/NeuralActivityDemo
收藏Hugging Face2023-08-19 更新2024-03-04 收录
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https://hf-mirror.com/datasets/iliang/NeuralActivityDemo
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资源简介：
# Demo Data for "Global spatiotemporal structure and its deviations of neural activities in mice: a resting-state waves perspective"
## Dependencies
* Python.
* Python packages in "requirements.txt".
## How to run it
* Install Python.
* Install all required Python packages using something like ```pip install -r requirements.txt```.
* You can just run ```python demo.py``` to get a demo result. Or if you prefer jupyter, simply open ```demo.ipynb```.
Please refer to ```demo.ipynb``` for instructions on how to execute the code on your data and to view the expected outputs. Please note that lines 24 to 26 in ```demo.py``` may take a few minutes to execute, so please be patient.
## Tested on
* Arch Linux (6.4.10-arch1-1).
* Python 3.11.3.
* At least 128G memory if you want compute FC of all pixel pairs (using ```rsfc.full_image_pipeline``` function).
提供机构：
iliang
原始信息汇总
数据集概述
数据集名称
Demo Data for "Global spatiotemporal structure and its deviations of neural activities in mice: a resting-state waves perspective"
依赖环境
- Python
- Python packages 列表在 "requirements.txt" 文件中
运行方法
- 安装 Python。
- 使用类似
pip install -r requirements.txt的命令安装所有必需的 Python 包。 - 运行
python demo.py获取演示结果，或者打开demo.ipynb使用 Jupyter Notebook。
注意事项
demo.py文件中的第24至26行可能需要几分钟执行时间，请耐心等待。- 如果需要计算所有像素对的FC（使用
rsfc.full_image_pipeline函数），至少需要128G内存。
测试环境
- Arch Linux (6.4.10-arch1-1)
- Python 3.11.3
