12 skills found
neuropsychology / NeuroKit.pyA Python Toolbox for Statistics and Neurophysiological Signal Processing (EEG, EDA, ECG, EMG...).
Mensen / Ept TFCE MatlabAdvanced EEG Statistics
keyinst / KeypyPython library for EEG preprocessing, analysis (microstates, spectra) and statistics
kevmtan / ElectroCUDARobust electrophysiology tools with GPU acceleration
FranzHell / EEG Data Analysis CourseEEG time-series data analysis including ERPs, time-frequency analysis, statistics and classification
jcdemunck5 / DMS ProjectsThese C/C++ source files consist of 150 classes, 300,000 lines of code, excluding a Qt-based user interface. Its functionality includes: GLM-statistics, hierarchical clustering, (non)-linear optimization, L1 and L2 norm minimization, Hungarian algorithm, EEG/MEG forward and inverse modelling, Boundary Element Method, spatio/temporal covariance modelling, image fusion, triangular meshes, KD-trees, topological error correction, marching cubes & spherical triangulations, sparse matrices and matrix operations, spherical harmonics, wavelets, spectra and spectrograms, Fast Fourier transform (FFTWest), data import for many different EEG/MEG data formats, data import for many image data formats.
sashel / PermANOVApermANOVA toolbox - Provides add-on functions to perform cluster-based permutation statistics on factorial designs within the Fieldtrip toolbox for EEG/MEG-analysis (Oostenveld, R., Fries, P., Maris, E., Schoffelen, JM (2011) FieldTrip: Open Source Software for Advanced Analysis of MEG, EEG, and Invasive Electrophysiological Data. Computational Intelligence and Neuroscience Volume 2011 (2011), Article ID 156869, doi:10.1155/2011/156869). The code has been tested with Fieldtrip version fieldtrip-20161122 (see http://www.ru.nl/neuroimaging/fieldtrip).
FahimehMamashli / PeSCARPermutation Statistics for Regions of Interest Connectivity (PSRC) Analysis in EEG and MEG Data
cfcooney / Imagined Speech CnnsData processing, network architectures, statistics and visualization pertaining to the use of convolutional neural networks for feature extraction and classification of imagined speech EEG recordings.
ssghirripa / Stats EEG TutorialSome materials from my "Introduction to Statistics and EEG Analysis" course, taught in weekly lab meetings.
yzhaoinuw / Sleep ScoringAn easy-to-use app that provides 1) interactive visualization of EEG, EMG, and/or Norepinephrine recordings of mice, 2) automated sleep scoring, 3) allows user annotation or correction, 4) post-sleep-scoring statistics about sleep scores.
dav0dea / Caffeine SleepAnalysis of the effect of different caffeine doses on quantitative sleep EEG utilizing statistics and machine learning in a data-driven manner.
