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Weiming Li's Projects

sleepeegnet icon sleepeegnet

SleepEEGNet: Automated Sleep Stage Scoring with Sequence to Sequence Deep Learning Approach

sleepstagecnn icon sleepstagecnn

Interpreting the Filters in the First Layer of a Convolutional Neural Network for Sleep Stage Classification

ssvep icon ssvep

Maze game controlled by SSVEP data( with OpenBCI )

ssvep-bci-openbci icon ssvep-bci-openbci

A Single-Channel Consumer-Grade EEG Device for Brain-Computer Interface: Enhancing Detection of SSVEP and Its Amplitude Modulation (IEEE Sensors Journal)

ssvep-multi-task-learning icon ssvep-multi-task-learning

Using multi-task learning to capture signals simultaneously from the fovea efficiently and the neighboring targets in the peripheral vision generate a visual response map. A calibration-free user-independent solution, desirable for clinical diagnostics. A stepping stone for an objective assessment of glaucoma patients’ visual field.

ssvep-neural-generative-models icon ssvep-neural-generative-models

Code to accompany our International Joint Conference on Neural Networks (IJCNN) paper entitled - Simulating Brain Signals: Creating Synthetic EEG Data via Neural-Based Generative Models for Improved SSVEP Classification

ssvep_cnn icon ssvep_cnn

convolutional neural networks for identifying SSVEPs lol

ssvep_stimuli icon ssvep_stimuli

Code to accompany our International Conference on Robotics and Automation (ICRA) paper entitled - Using variable natural environment brain-computer interface stimuli for real-time humanoid robot navigation.

subject-invariant-ssvep-gan icon subject-invariant-ssvep-gan

Code to accompany our International Conference on Pattern Recognition (ICPR) paper entitled - Leveraging Synthetic Subject Invariant EEG Signals for Zero Calibration BCI.

td3_pytorch icon td3_pytorch

♊ Minimal PyTorch Twin Delayed DDPG (TD3) implementation

tensorlayer icon tensorlayer

Deep Learning and Reinforcement Learning Library for Scientists and Engineers

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