Tutorial covering group DCM analyses of fMRI and M/EEG
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Updated
Feb 12, 2024 - MATLAB
Tutorial covering group DCM analyses of fMRI and M/EEG
Working folder for PROTOLIZE! software
Cognitive training using an EEG based Brain-Computer Interface (BCI)
Graphical User Interface to be used along OpenBCI's GUI to collect and store data from the headset
EEG Alpha Band Power Topographies of Educated Subjects while Solving an IQ Test: A Case Study
Complexity-based graph convolutional neural network for epilepsy diagnosis in normal, acute, and chronic stages
Preprocessing the EEG data for the specific analysis of N400 ERP in the context of Picture-Word Semantic Integration.
For my MSc dissertation, and in my role as a research data analyst, I am undertaking an analysis of electroencephalography data to investigate whether detection of the P300 neural signal can be utilised within an EEG Brain-Computer Interface to discern information from the minds of individuals, without the need for explicit communication.
Digital Signal Processing in Electroencephalography signals. Spike detection with threshold method and isolation with windowing. Temporal and spectral feature extraction. Classification in three neurons.
Electroencephelography Data taken from my Muse Headband
🎧 Real-time data streaming from NeuroSky MindWave Mobile Headset
Work in progress PhD thesis
group sequential tests for neuroimaging
Open-source Python package for measuring consciousness.
EEG Introduction and mind letter recognition system made by 3 students.
Spontaneous Movements' Initiation under Temporal uncertainty
A Deep Learning Library for State-Based EEG Analysis
🧠 Comparison of brainwave between 2 gathering sources - Mindwave and Muse - in random state
🧠 Comparison of brainwave between 2 gathering sources - Mindwave and Muse - in resting state
Dimensionality reduction for electroencephalography data to train deep learning models for motor imagery classification.
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