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Dendritic Spines inspired Spiking Neural Networks for reinforcement learning

Studying and applying spiking neural networks in reinforcement learning.

Webots based robotic agents implementation for Reinforcement learning and Spiking Neural Networks

Using Spiking Neural Networks on Spinnaker to play Atari games.

Unofficial Nengo implementation of "Reinforcement Learning Using a Continuous Time Actor-Critic Framework with Spiking Neurons" by Fremaux N, Sprekeler H, Gerstner W (2013)

Reinforcement Learning in Spiking Neural Networks

Reinforcement learning framework for spiking neural network actors with R-STDP for the master's thesis "Training Spiking Neural Networks with Reinforcement Learning".

Deep Spiking Reinforcement Learning

Reinforcement Learning for Spiking Neural Networks

Repo for final year project

High-performance Deep Spiking Neural Networks via At-most-two-spike Exponential Coding

Code for the model presented in the paper "A Biologically Plausible Supervised Learning Method for Spiking Neural Networks Using the Symmetric STDP Rule"

This project used STBP-tdBN method to directly train Deep Spiking Neural Networks from scratch with PyTorch

Graph Capsule Convolutional Network

A pytorch implementation of the AAAI2021 paper GraCapsNet: Interpretable Graph Capsule Networks for Object Recognition

knowledge graph embedding with capsule network

a graph pooling of cluster selecting method using capsule network

Source code and datasets for the CIKM 2020 paper "Knowledge-Enhanced Personalized Review Generation with Capsule Graph Neural Network".

Graph Capsule Convolutional Neural Networks

Pytorch implementation of Hinton's Dynamic Routing Between Capsules

A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).

Pytorch implementation of Capsule Network with Dynamic Routing

An easy-to-follow Pytorch implementation of Hinton's Capsule Network

i. A practical application of Transformer (ViT) on 2-D physiological signal (EEG) classification tasks. Also could be tried with EMG, EOG, ECG, etc. ii. Including the attention of spatial dimension…

EEG based emotion recognition using Transfer Learning and CNN model on SEED, SEED-IV and SEED-V