vhris / Deep-Spiking-Q-NetworksLinks
Implementation of spiking DQN training using different conversion techniques and backpropagation with surrogate gradients employed on the OpenAIGym environments CartPole, MountainCar, and BreakOut. Accompanies the thesis "Deep Spiking Q Networks" submitted at the Technical University of Munich in January 2020.
☆11Updated 2 years ago
Alternatives and similar repositories for Deep-Spiking-Q-Networks
Users that are interested in Deep-Spiking-Q-Networks are comparing it to the libraries listed below
Sorting:
- Deep Spiking Reinforcement Learning☆24Updated last year
- Reinforcement learning framework for spiking neural network actors with R-STDP for the master's thesis "Training Spiking Neural Networks …☆19Updated 3 years ago
- A python implementation of a spiking neural network with STDP and Reinforcement learning methods☆129Updated 8 years 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
- ☆70Updated 3 years ago
- Training spiking networks with hybrid ann-snn conversion and spike-based backpropagation☆100Updated 4 years ago
- Accurate and efficient Spiking recurrent networks on ECG,SHD,SSC,SOLI,(p)SMNIST,TIMIT☆81Updated 2 years ago
- a spiking neural network module, tempotron for classification☆17Updated 4 years ago
- ☆38Updated 3 years ago
- DRL with population coded spiking neural network for optimal and energy-efficient continuous control.☆59Updated 3 years ago
- Spiking Convolutional Neural Networks☆69Updated 6 years ago
- This repo is the implementation of the spatio-temporal credit assignment (STCA) algorithm for training deep spiking neural networks.☆26Updated 5 years ago
- Implementation of Long Short Term Spiking NN☆39Updated 2 years ago
- ☆45Updated 2 years ago
- Convolutional spiking neural network implementing voltage-dependent synaptic plasticity and single-spike integrate-and-fire neurons☆13Updated 2 years ago
- Spatio-temporal BP for SNNs☆229Updated 3 years ago
- Long short-term memory Spiking Neural Networks☆104Updated 5 years ago
- The code associated with Comparing SNNs and RNNs on neuromorphic vision datasets: Similarities and differences.☆52Updated 3 years ago
- ☆91Updated last year
- Pytorch implementation of TSSL-BP rule for Deep Spiking Neural Networks.☆71Updated last year
- Code for the model presented in the paper "A Biologically Plausible Supervised Learning Method for Spiking Neural Networks Using the Symm…☆47Updated 4 years ago
- A simple direct training implement for SNNs using Spatio-Temporal Backpropagation☆87Updated 2 years ago
- Pure python implementation of unsupervised MNIST classification using Spiking Neural Networks (using STDP)☆30Updated 3 years ago
- PyTorch implementation of the eligibility propagation (e-prop) learning algorithm.☆52Updated 3 years ago
- Code for training binary and WTA SNNs☆17Updated 3 years ago
- ☆253Updated 4 years ago
- Convolutional spiking neural network implementing STDP☆20Updated 2 years ago
- The biologically plausible self backpropagation on SNNs and ANNs☆12Updated 3 years ago
- The code for tuning Spiking Neural Network based on Biologically-plausible Reward Propagation☆12Updated 4 years ago
- Neuron-Astrocyte Liquid State Machine☆19Updated 3 years ago