@@ -37,9 +37,17 @@ 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).
## Going from CSNN to SpiNNaker
First, run the simulation of the two dense layers using CSNN:
./MnistForSpiNNaker 0 0
then
./MnistForSpiNNaker 1 1
To transfer the learned weights from CSNN to SpiNNaker, we use the following command:
./Weight_extractor [binary file geenrated from a simulation] [name_layer]
./Weight_extractor [binary file generated from a simulation] [name_layer]
