|刘政 091edbb228||2 days ago|
|Template||3 weeks ago|
|figures||2 days ago|
|gui||2 days ago|
|README.md||2 days ago|
|logo.jpg||1 month ago|
|main.py||3 weeks ago|
|requirements.txt||3 days ago|
|鹏城logo.jpg||1 month ago|
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.
Firstly, make sure you’ve got CUDA and cudnn, then type
git clone https://git.openi.org.cn/BarryLiu/MultiAreaApp.git to 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=3.7
or 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.
pip install -r requirements.txt in command.