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[MICCAI 2024] Feature Fusion Based on Mutual-Cross-Attention Mechanism for EEG Emotion Recognition
[ECCV-24] Spiking Wavelet Transformer
PyTorch Implementation of Spiking Transformer with Spatial-Temporal Attention (CVPR 2025)
Source code for AAAI 2025 paper: FSTA-SNN:Frequency-based Spatial-Temporal Attention Module for Spiking Neural Networks
Efficient vision foundation models for high-resolution generation and perception.
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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".
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
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".