IGITUGraz/LSM

Stars
49
Rank 585,874 (Top 12 %)
Language
Python
License
GNU General Publi...
Created about 7 years ago
Updated about 4 years ago

IGITUGraz/LSM

IGITUGraz

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Liquid State Machines in Python and NEST

WeatherDiffusion

Code for "Restoring Vision in Adverse Weather Conditions with Patch-Based Denoising Diffusion Models" [TPAMI 2023]

LSNN-official

Long short-term memory Spiking Neural Networks

eligibility_propagation

live-plotter

Live plots with matplotlib with a simple interface

L2L

Learning to Learn: Gradient-free Optimization framework

spore-nest-module

Synaptic Plasticity with Online Reinforcement learning

H-Mem

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

SimManager

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

SparseAdversarialTraining

Code for "Training Adversarially Robust Sparse Networks via Bayesian Connectivity Sampling" [ICML 2021]

structured_information_representation

Simulation code für Müller et al., A model for structured information representation in neural networks of the brain

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

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

Cognitive-Map-Learner

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

Jupyter Notebook

IGI-Reading-Group

IGI Reading Group

Spike-Frequency-Adaptation-Supports-Network-Computations

Code for: Spike Frequency Adaptation Supports Network Computations on Temporally Dispersed Information

Jupyter Notebook

CSNN

SimRecorder

An high-performance library for recording and storing simulation data

dendritic_rewiring

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

nevesim

Neural EVEnt-based SIMulator

RobustSNNConversion

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

dynamic_rnn_with_gradients

adaptation_working_memory

Spike frequency adaptation supports network computations on temporally dispersed information

Jupyter Notebook