Code for "Advancing Spatio-Temporal Processing in Spiking Neural Networks through Adaptation"

Code for "Preserving Real-World Robustness of Neural Networks Under Sparsity Constraints" [ECML-PKDD 2024]

Code for "Adversarially Robust Spiking Neural Networks Through Conversion" [TMLR 2024]

This repo contains an example jupyter-notebook for the CML algorithm on all different kinds of the abstract random graph tasks.

StraightSkel is an implementation of the Straight Skeleton in 2- and 3-dimensional space. It is used to animate the computation of offsets of polygons and polyhedrons. StraightSkel was written by Gernot Walzl in the years 2011, 2012, 2013, 2016

Code for: Kraišniković, C., Stathopoulos, S., Prodromakis, T., & Legenstein, R. (2023, March). Fault pruning: Robust training of neural networks with memristive weights. In International Conference on Unconventional Computation and Natural Computation (pp. 124-139). Cham: Springer Nature Switzerland.