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Institute for Theoretical Computer Science, TU Graz's Projects

cognitive-map-learner icon cognitive-map-learner

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

dendritic_rewiring icon dendritic_rewiring

Simulation code for Limbacher, T. and Legenstein, R. (2020). Emergence of Stable Synaptic Clusters on Dendrites Through Synaptic Rewiring

fault-pruning icon fault-pruning

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.

h-mem icon h-mem

Code for Limbacher, T. and Legenstein, R. (2020). H-Mem: Harnessing synaptic plasticity with Hebbian Memory Networks

l2l icon l2l

Learning to Learn: Gradient-free Optimization framework

loggingext icon loggingext

Short for Logging Extensions, contains helper functions for python logging

lookbackneuron icon lookbackneuron

NEST related header and source files containing the relevant code to implement the feature of looking back into incoming synapses.

lsm icon lsm

Liquid State Machines in Python and NEST

memorydependentcomputation icon memorydependentcomputation

Code for Limbacher, T., Özdenizci, O., & Legenstein, R. (2022). Memory-enriched computation and learning in spiking neural networks through Hebbian plasticity. arXiv preprint arXiv:2205.11276.

outputcodematching icon outputcodematching

Code for "Improving Robustness Against Stealthy Weight Bit-Flip Attacks by Output Code Matching" [CVPR 2022]

pypet icon pypet

The new python parameter exploration toolbox. pypet manages exploration of the parameter space and data storage into HDF5 files for you.

robustmodelcompression icon robustmodelcompression

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

robustsnnconversion icon robustsnnconversion

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

scoop icon scoop

SCOOP (Scalable COncurrent Operations in Python)

simmanager icon simmanager

The Simulation Manager is a library for enabling reproducible scientific simulations.

simrecorder icon simrecorder

An high-performance library for recording and storing simulation data

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