Python code for decoding EEG motor imagery conditions using a convolutional neural network.
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Updated
Apr 5, 2022 - Python
Python code for decoding EEG motor imagery conditions using a convolutional neural network.
EEG and AUDIO data synchronization tool that maps aduio or other other stimuli to the eeg data based on triggers in eeg and markers in the audio
Using Logistic Regression and Principal Component Analysis to classify Alcoholic (habituated) and Control Individuals using their Electroencephalogram (EEG) signal data
EEG classification project. Uses a variety of classifiers and methods to parse EEG data.
Repository for the paper "TrustLapse: An Explainable and Actionable Mistrust Scoring Framework for Model Monitoring"
Machine Learning based Brain Computer Interface (BCI) by analyzing EEG Data using PyTorch
A plug-in for the EEG lab toolbox to implement Artifact Subspace Reconstruction cleaning with whole-night sleep EEG
Data from 11 subjects that took part in a Human-Agent Collaboration experiment. The name of the paper is "Brain computer interface to distinguish between self and other related errors in human agent collaboration" published in Scientific Reports.
This repository contains the data analysis for my bachelor's degree thesis project. We used optimal transport's induced distances between probability distributions to analyze human neurophysiological data. The full thesis is available at:
MATLAB CLI program to visualize EEG data for 32 and 21 channel EEG systems.
Code for applying personalized classifier selection to EEG data
An interactive mobile application along with a desktop application and an EEG headset (Emotiv). The mobile application allows the user to view his/her emotion levels at the moment, explore the personalized happiness heatmap, and play music tracks while observing the change in the emotions' levels.
Synapsy-DMP-Meeting Presentation about standardization of EEG data
Estimating evoked responses
A user interface for cloud based medical image storage
A workshop introducing the hu-neuro-pipeline package for single trial EEG processing
Resources for the paper titled "Evaluating Latent Space Robustness and Uncertainty of EEG-ML Models under Realistic Distribution Shifts". Accepted at NeurIPS 2022.
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