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Barry Liu
091edbb228
|
2 years ago | |
|---|---|---|
| Template | 2 years ago | |
| figures | 2 years ago | |
| gui | 2 years ago | |
| README.md | 2 years ago | |
| logo.jpg | 3 years ago | |
| main.py | 2 years ago | |
| requirements.txt | 2 years ago | |
| 鹏城logo.jpg | 3 years ago | |
README.md
MultiAreaApp
MultiAreaApp is a GUI interface for easily simulating a multi-scale layer-resolved spiking network
model using GPU(for the full simulation, at least 12 GB of memory depending on the device and operating system).
Project is mainly based on GeNN and multi-area-model.
Features
- Language: Python
- OS: Linux
Get Started
-
Firstly, make sure you've got CUDA and cudnn, then type
git clone https://git.openi.org.cn/BarryLiu/MultiAreaApp.gitto clone the repository to the local. Note that you'll need Git-LFS to correctly download the big files contained. -
Secondly, use Anaconda or Python to create an environment
If you use Anaconda, just type
conda create -n [enve name] python=3.7or you use Python itself, then you could type
python3 -m venv [enve name] -
Thirdly, install the GeNN package
To install the most important package GeNN, you need to go to this repo and follow the Installation guidance of it.
-
Lastly, type
pip install -r requirements.txtin command.
Contributors
App for multi-area model simulation
CSV Python Text R other
