niklasbrake / EEG_modelling

#自然语言处理#为 Jax、PyTorch 和 TensorFlow 打造的先进的自然语言处理

Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

A Python Toolbox for Multimode Neural Data Representation Analysis

EEG Transformer 2.0. i. Convolutional Transformer for EEG Decoding. ii. Novel visualization - Class Activation Topography.

About Open source code of paper: Toward reliable signals decoding for electroencephalogram: A benchmark study to EEGNeX

An implementation of 1D, 2D, and 3D positional encoding in Pytorch and TensorFlow

Existing work in the field of BCI treats deep learning models as black-box classifiers. In this project, we develop a novel model named "InterpretableCNN" that allows sample wise analysis of important...