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awesome-brain-encoding--decoding

bci_project

Classification of Electroencephalogram (EEG) signals during the performance of two class Motor Imagery tasks by different subjects.

bengalinlp

Bengali sentiment analysis

brain-computer-interface-movement-decoding

Code to perform experiments predicting the movement direction of a subject based on EEG data

brain_project

Analyzing brain connectivity during sleep. Semester project - ETH Zürich - Summer 2018.

classification-and-analysis-of-electraencephalography-eeg-signals

Classification and Analysis of EEG Signals using Machine Learning Algorithms

cognitiveload

confused-student-eeg-brainwave-data-classification-using-xgboost

EEG Classification on dataset https://www.kaggle.com/datasets/wanghaohan/confused-eeg

csa-net

deap-eeg-classification

EEG-based emotion classification using DEAP dataset

decoding-eeg-during-ao-mi-me

Improvement upon the IEEE Sensors Journal research of decoding of continuous EEG rhythms during action observation (AO), motor imagery (MI), and motor execution (ME) for standing and sitting.

deep-sleep-state-single-channel-classification

[Project] CNN-based for single-channel sleep-state classification

deepicaclassification

Convolutional Neural Netowork for Independent Component Classificaiton

dl-eegsignalanalysis

Survey on state of the art Deep Learning (DL) methods for EEG signal analysis.

dpeeg

Deep Learning with EEG.

dreem_project_2019_mlc

Kaggle Competition: Automatic sleep stage classification

ece-c247-eeg-gan

GAN and VAE implementations to generate artificial EEG data to improve motor imagery classification. Data based on BCI Competition IV, datasets 2a. Final project for UCLA's EE C247: Neural Networks and Deep Learning course.

eeg-analysis-notebooks

Notebooks for cleaning, filtering, and performing ICA, Mass-univariate and Decoding analysis

eeg-classification

As part of an effort to observe the workflow involved in the field of EEG signal classifcation, we have implemented two papers that we hope will showcase the range of differences and advancements in the data curation process, the methodologies adopted and the algorithms used.

eeg-classification2

feature extraction with auto Encoder and classification with XGboost

eeg-classification_1

EEG Classification

eeg-driven-emotion-detection-and-classification

A project that uses EEG data to classify human emotions using machine learning techniques.

eeg-ecg-emg-analysis

Signal Processing and Machine Learning research work for a PhD in Physical/Athletic Education

eeg_airs_project

EEG Classification

eeg_bci

EEG classification project. Uses a variety of classifiers and methods to parse EEG data.

eeg_classification_signalmodelingproject

Classifying EEG signals as a Face trial or a Car trial, based on the paper by Dr Paul Sajda - "Temporal characterization of the neural correlates of perceptual decision making in the human brain"

eegclassification_lstm-cnn

This project explores the relationship between deep learning and neuroscience to develop a classification model for EEG data analysis. The main focus is on diagnosing epilepsy, a neurological condition marked by uncontrollable seizures.

eegcnn-amuse

CNN for ERP classification of the AMUSE dataset.

eegmindreader

Software for EEG BCI communication, along with companion IOS app.

eegnet-improved.

In this repository we used a variant of the EEGNet in order to classify patients with epilepsia