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@@ -4,6 +4,10 @@ This repository contains spike-encoded features of the [CIFAR-10 dataset](https:
 
 Spike features were extracted in an unsupervised fashion by a Convolutional Spiking Neural Network (CSNN) trained with Spike Timing-Dependent Plasticity (STDP).
 
-These features have been used in the following paper: *Gaspard Goupy, Pierre Tirilly, and Ioan Marius Bilasco. Neuronal Competition Groups with Supervised STDP for Spike-Based Classification. Advances in Neural Information Processing Systems, 38, 2024*. The official code for the paper is available [here](https://gitlab.univ-lille.fr/fox/snn-ncg/). 
+These features have been used in the following paper: *Gaspard Goupy, Pierre Tirilly, and Ioan Marius Bilasco. Neuronal Competition Groups with Supervised STDP for Spike-Based Classification. Advances in Neural Information Processing Systems, 38, 2024*.
 
-See the code repository and the paper for additional information.
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+The official code for the paper is available [here](https://gitlab.univ-lille.fr/fox/snn-ncg/). 
+
+You can extract these features yourself, as well as those for the MNIST, Fashion-MNIST and CIFAR-100 datasets, by following the instructions in the official repository. However, we provide these features to facilitate quick experimentation with code of the paper.
+
+Please see the code repository and the paper for additional information.
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