combra-lab / pop-spiking-deep-rlLinks
DRL with population coded spiking neural network for optimal and energy-efficient continuous control.
☆59Updated 3 years ago
Alternatives and similar repositories for pop-spiking-deep-rl
Users that are interested in pop-spiking-deep-rl are comparing it to the libraries listed below
Sorting:
- Spiking-DDPG trains an SNN for energy-efficient mapless navigation on Intel's Loihi neuromorphic processor.☆75Updated 3 years ago
- Reinforcement learning framework for spiking neural network actors with R-STDP for the master's thesis "Training Spiking Neural Networks …☆19Updated 3 years ago
- Implementation of spiking DQN training using different conversion techniques and backpropagation with surrogate gradients employed on the…☆11Updated 2 years ago
- Deep Spiking Reinforcement Learning☆24Updated last year
- Author's PyTorch implementation of "A Low Latency Adaptive Coding Spike Framework for Deep Reinforcement Learning", IJCAI 2023☆9Updated last year
- The biologically plausible self backpropagation on SNNs and ANNs☆12Updated 3 years ago
- The source code of paper Human-Level Control through Directly-Trained Deep Spiking Q-Networks.☆13Updated 2 years ago
- Visuomotor policies from event-based cameras through representation learning and reinforcement learning. Accompanies our paper: https://a…☆54Updated last year
- A python implementation of a spiking neural network with STDP and Reinforcement learning methods☆128Updated 8 years ago
- Cerebellar-SNN control of a Baxter robot. The repository includes EDLUT simulator source code, the ROS package to perform a closed-loop c…☆16Updated 3 years ago
- Convolutional spiking neural network implementing STDP☆20Updated 2 years ago
- Code for training binary and WTA SNNs☆17Updated 3 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
- Neuromorphic paper list, automatically updating everyday at 8:00 am GMT.☆42Updated this week
- Accurate and efficient Spiking recurrent networks on ECG,SHD,SSC,SOLI,(p)SMNIST,TIMIT☆81Updated 2 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
- Spiking Convolutional Neural Networks☆69Updated 6 years ago
- code for generating data set ES-ImageNet with corresponding training code☆31Updated last year
- official pytorch implements for the experiments of paper "Rethinking Pretraining as a Bridge from ANNs to SNNs"☆11Updated last year
- ☆38Updated 3 years ago
- a spiking neural network module, tempotron for classification☆17Updated 4 years ago
- ☆45Updated 2 years ago
- Training spiking networks with hybrid ann-snn conversion and spike-based backpropagation☆100Updated 4 years ago
- The code associated with Comparing SNNs and RNNs on neuromorphic vision datasets: Similarities and differences.☆52Updated 3 years ago
- [NeurIPS 2022] Online Training Through Time for Spiking Neural Networks☆61Updated last year
- Pure python implementation of unsupervised MNIST classification using Spiking Neural Networks (using STDP)☆29Updated 3 years ago
- FeedForward Propagation Through Time on Spiking Neural Network (SNNs)☆55Updated 2 years ago
- Training Recurrent Neural Networks via Forward Propagation Through Time☆41Updated 3 years ago
- Official implementation of Fully Spiking Variational Autoencoder [AAAI2022]☆70Updated 2 years ago
- PyTorch implementation of the eligibility propagation (e-prop) learning algorithm.☆51Updated 3 years ago