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Wittawat Jitkrittum edited this page Aug 19, 2014 · 7 revisions

Welcome to the gatsby-hackathon-seizure wiki!

See this Google doc

Classification methods

Random Forest
depth
number of trees
number of features per tree (max_features parameter of ForestPredictor)
SVM
penalty weight

Features

Single channels

Fourier features (single channel)
frequency bands

Accross channels

Autoregressive models
lag
Pairwise correlation
lags
dimensionality reduction (Ben)
Non-linear interdependence 1
Wavelet Analysis Based Measure of Synchrony 1
Phase locking value ex
Independent component analysis (suggested by Peter D)
Lyapunov Exponents 1

(Potentially interesting packages)

Machine Learning

PySSM: A Python Module for Bayesian Inference of Linear Gaussian State Space Models (http://www.jstatsoft.org/v57/i06/paper)

EEG/MEG

Pbrain: https://github.com/nipy/pbrain
Mne: http://martinos.org/mne/stable/python_tutorial.html
PyEEG: https://code.google.com/p/pyeeg/ (Wittawat: a bit old and buggy, from what I tried)
SCot: EEG source connectivity toolbox (https://github.com/SCoT-dev/SCoT)