BSVogler / SNN-RL
Reinforcement learning framework for spiking neural network actors with R-STDP for the master's thesis "Training Spiking Neural Networks with Reinforcement Learning".
☆18Updated 2 years ago
Alternatives and similar repositories for SNN-RL:
Users that are interested in SNN-RL are comparing it to the libraries listed below
- Deep Spiking Reinforcement Learning☆24Updated last year
- Implementation of spiking DQN training using different conversion techniques and backpropagation with surrogate gradients employed on the…☆11Updated 2 years ago
- DRL with population coded spiking neural network for optimal and energy-efficient continuous control.☆57Updated 3 years ago
- Author's PyTorch implementation of "A Low Latency Adaptive Coding Spike Framework for Deep Reinforcement Learning", IJCAI 2023☆9Updated 10 months ago
- Reinforcement Learning in Spiking Neural Networks☆8Updated 7 years ago
- The biologically plausible self backpropagation on SNNs and ANNs☆12Updated 3 years ago
- a spiking neural network module, tempotron for classification☆17Updated 4 years ago
- A python implementation of a spiking neural network with STDP and Reinforcement learning methods☆127Updated 7 years ago
- Reinforcement learning with a network of spiking agents☆20Updated 4 years ago
- ☆90Updated last year
- FeedForward Propagation Through Time on Spiking Neural Network (SNNs)☆51Updated 2 years ago
- Accurate and efficient Spiking recurrent networks on ECG,SHD,SSC,SOLI,(p)SMNIST,TIMIT☆81Updated 2 years ago
- A library for deep learning with Spiking Neural Networks (SNN).☆28Updated last week
- Neuron-Astrocyte Liquid State Machine☆18Updated 3 years ago
- Training Recurrent Neural Networks via Forward Propagation Through Time☆41Updated 3 years ago
- Codes for Spiking Neural Networks with Improved Inherent Recurrence Dynamics for Sequential Learning☆11Updated 2 years ago
- Pure python implementation of unsupervised MNIST classification using Spiking Neural Networks (using STDP)☆28Updated 3 years ago
- Long short-term memory Spiking Neural Networks☆102Updated 5 years ago
- spiking-neural-networks☆37Updated 3 months ago
- ☆45Updated 2 years ago
- ☆21Updated 2 months ago
- To identify features by aggregate-label learning in spiking neurons☆14Updated 7 years ago
- PyTorch implementation of the eligibility propagation (e-prop) learning algorithm.☆51Updated 3 years ago
- Convolutional spiking neural network implementing voltage-dependent synaptic plasticity and single-spike integrate-and-fire neurons☆12Updated 2 years ago
- Spiking Convolutional Neural Networks☆67Updated 6 years ago
- This repo is the implementation of the spatio-temporal credit assignment （STCA） algorithm for training deep spiking neural networks.☆25Updated 5 years ago
- Feedforward spiking neural network has been trained with SpikeProp algorithm☆22Updated 7 years ago
- Code for the model presented in the paper "LISNN: Improving Spiking Neural Networks with Lateral Interactions for Robust Object Recogniti…☆11Updated 4 years ago
- Reinforcement Learning for Spiking Neural Networks☆82Updated 8 months ago
- The repository offer the simulation scripts of three different single-layer SNN learning algorihtms proposed by Querlioz, Diehl and this …☆15Updated 5 years ago