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Scripts to calculate InterSite Phase Clustering (ISPC) over time for the paper "Action experience in infancy predicts visual-motor functional connectivity during action anticipation". The scripts include ways of calculating whole-brain connectivity and connectivity between specific clusters or electrodes. The scripts also show examples of how to…
Será que a eletroencefalografia (EEG) é capaz de identificar padrões cerebrais de erros e acertos durante um arremesso no basquetebol? E se estimular eletricamente o cérebro de um atleta, contribuiria para ele não pensar durante momentos decisórios? Será que o comportamento do olhar (local que o atleta olha) indica o nível de experiência? O tre…
Scripts criados para construção de conjuntos de dados de EEG através dos arquivos BrainVision (.eeg, .vhdr, .vmrk) com o auxílio da toolbox EEGLab e atribuição de rótulos para cada ERP.
Questo codice prende i valori di diversi EEG provenienti da una tabella di un file cvs, ne fa la trasformata di Fourier e ne fa vedere i grafici evidenziando i diversi ritmi celebrali.
Neuroscience Lab Assignments related to various aspects of neuroscience research, including visual search tasks with Psychtoolbox, regression and ANOVA analysis, EEG preprocessing with EEGLab, and fMRI analysis with AFNI.
Project on analyzing EEG data and modelling spectral content from asynchronous neural activity. Includes code for generating figures used in production of manuscript.
Emotion recognition from EEG data (Bachelor's thesis), using the DEAP dataset. Performed manual feature selection across three domains: time, frequency, and time-frequency. Used different classifiers, including XGBoost, AdaBoost, Random Forest, k-NN, SVM, etc.
This project is for classification of emotions using EEG signals recorded in the DEAP dataset to achieve high accuracy score Emotion Recognition Via Deep Learning and EEG Headsets. Deep Learning Model trained on DEAP dataset and corrected for the Emotiv EPOC/EPOC+ Headset
Corresponden a los distintos códigos utilizados para el análisis de distintos métodos de promediación de registros EEG correspondiente a una Tarea de bioingeniería de la USM. Todos los códigos fueron implementados en MATLAB
he "Applying KNN on the data" contains matlab code that perform data pre-processing using the data file "dataset_BCIcomp1" which contains 3D matrix data from 3 EEG sensors.