TimeSpacerRob/FBSTCNet

This is the PyTorch implementation of the FBSTCNet-M architecture for EEG-based emotion classification.

FBSTCNet

This is the PyTorch implementation of the FBSTCNet-M architecture for EEG-based emotion classification.

File Descriptions

• PowerAndConneMixedNet.py — Code for the FBSTCNet-M network.

• MixedNet_main.py — An example code for classifying SEED dataset using FBSTCNet-M.

Reference

Weichen Huang, Wenlong Wang, Yuanqing Li, Wei Wu, "FBSTCNet: A Spatio-Temporal Convolutional Network Integrating Power and Connectivity Features for EEG-Based Emotion Decoding", IEEE Transactions on Affective Computing, 15(4), 1906-1918, 2024, DOI: 10.1109/TAFFC.2024.3385651.