lihaoxuan9527

P300-Speller-Using-CNN

ERBCPSI

The code for "EEG-based Emotion Recognition Using Convolutional Neural Network with Functional Connections"

bci-gan

In this project, the application of GANs to augment EEG data is researched

NN_HOMEWORK

SJTU NN ASSIGNMENTS

DRDA_EEG

MSDA

Multiple Source Domain Adaptation with Adversarial Learning

MS-MDA

Code of paper MS-MDA: Multisource Marginal Distribution Adaptation for Cross-subject and Cross-session EEG Emotion Recognition

codats

Source code for "Multi-Source Deep Domain Adaptation with Weak Supervision for Time-Series Sensor Data" (KDD 2020)

JDA

Domain Adaptation for EEG Emotion Recognition Based on Latent Representation Similarity

EEG-P300

P300SpellerBasedEEGClassification

This repository contains the code for classification of EEG Signals using P300 Speller Based BCI

P300_Speller_Data_Analysis

Automated P300 Potential Detection Algorithm using Hybrid Model (1DCNN+RNN) for Speller Device.

STNN

Link: Spatial-Temporal Neural Network for P300 Detection

GCN_for_EEG

Graph Convolutional Networks for 4-class EEG Classification

Ensemble-Voters-P300-Speller

Classification of the EEG signal for P300 Speller

BCI-P300-controlled-wheelchair

cnn-lstm-bilstm-deepcnn-clstm-in-pytorch

In PyTorch Learing Neural Networks Likes CNN、BiLSTM

attention

some attention implements

Speller-Attacks

This project attacked widely-used EEG spellers, e.g., P300 spellers and SSVEP spellers, with adversarial perturbation templates. We constructed these templates to perform target attacks on EEG spellers, demonstrating that the spellers can be manipulated to output anything the attacker wants when added the templates.

Signal-feature-extraction_DE-and-PSD

Code for extracting DE (differential entropy) and PSD (power spectral density) feature of signals.

P300-based-speller

PyEMD

Python implementation of Empirical Mode Decompoisition (EMD) method

pywt

PyWavelets - Wavelet Transforms in Python

EEG-P300Speller-Toolkit

Implemented an EEG processing toolkit; an Ensemble SVM; a stacked RNN and CNN.

wyrm

Python toolbox for Brain-Computer Interfacing (BCI)

P300_Speller

A machine learning algorithm to predict the letter thought by a subject given the EEG signal acquired during a letter selection task

Digit-Recognition

手写数字识别（包含小数点）

keras-tcn

Keras Temporal Convolutional Network.

conditioning-GANs-with-brain-signals

MSc Computer Science thesis. The aim is to create a model capable of generating an approximation of images seen by an individual. We apply deep learning to this problem.

base_TCN_emotion_recognition

EEG emotion recognition based on Temporal convolutional network