EEG Analysis Project

Process EEG data directly from a Muse headband into useful brain signals

Brain computer interface based on electroencephalographic data (EEG data) with the help of machine learning algorithms.

DesiredEEG is a Python-based preprocessing tool designed to extract EEG signals related to both covert and overt speech, tailored for one of the most widely recognized experimental paradigms.

EEG preprocessing pipeline and alpha band analysis (eyes open vs eyes closed experiment)

🔹 Access the TQNN AnyEngine API to transform structured data into high-dimensional inference outputs across various modes like EEG, Finance, and more.

[TNSRE 2023] EEG Conformer

"EEG-to-brain voxelization using hybrid information-theoretic methods (work in progress)"

My master's degree project, all in a GitHub repo

EEG Monitoring and brain signals detection.

For converting .poly5 EEG data and PsychoPy behavioral data to BIDS format. Created for the Decoding Auditory Attention and Musical Emotions with Ear-EEG (DAAMEE) dataset.

Aider un handicapé moteur à acquérir plus d'autonomie à partir de l'interprétation des ondes EEG avec le Machine learning

This repo contains everything that I have done at IIT Jodhpur Summer Internship May 15 - July 15

A PyTorch-based framework for fitting whole-brain Hopf models to empirical EEG PSD. Optimizes local dynamics and global coupling using structural connectivity and neurotransmitter receptor maps.

A B.Sc. project. PyTorch implementation of EEGNet, ShallowConvNet, and DeepConvNet.

[TII 2023] Physics-informed attention temporal convolutional network for EEG-based motor imagery classification & TENSORFLOW implementations of many other networks

Visual "oddball" task designed for execution during a transcranial direct current stimulation (tDCS) session.