From 78a5b7273d873fedd7f8a6b1ced2567bad6358f1 Mon Sep 17 00:00:00 2001
From: Hammouda Elbez <hammouda.elbez@univ-lille.fr>
Date: Thu, 2 Mar 2023 11:11:04 +0100
Subject: [PATCH] ReadMe updated with Norse instructions
---
Norse/requirements.txt | 2 ++
README.md | 10 ++++++++++
2 files changed, 12 insertions(+)
create mode 100755 Norse/requirements.txt
diff --git a/Norse/requirements.txt b/Norse/requirements.txt
new file mode 100755
index 0000000..bc8da77
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+++ b/Norse/requirements.txt
@@ -0,0 +1,2 @@
+matplotlib
+norse
\ No newline at end of file
diff --git a/README.md b/README.md
index 16d4993..02cc658 100644
--- a/README.md
+++ b/README.md
@@ -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:
--
GitLab