@@ -36,6 +36,16 @@ For example: to run MNIST simulation without compression and reinforcement:
In the `apps` folder, you will find the source code for each simulation, where you can change the architecture and the network parameters or activate the [layerwise compression](https://gitlab.univ-lille.fr/hammouda.elbez/progressive-layer-based-compression-for-convolutional-spiking-neural-network/-/blob/main/CSNN-Simulator/apps/Mnist.cpp#L21).
### How to use Norse
First, install the required libraries:
python install -r requirements.txt
To run a simulation:
python [name_dataset].py
Each file runs each configuration ten times. You can change the parameters at the beginning of each file.
## Going from CSNN to SpiNNaker
First, run the simulation of the two dense layers using CSNN:
