Welcome to natMEEG’s documentation!
natMEEG is a Python package for the analysis of EEG and MEG data. It focuses on providing tools for preprocessing, visualization, and modelling of neurophysiological data in the context of naturalistic and continuous (single trial) stimuli presentation.
To get started
Contents
- IO module
- Classes
- Functions
pyeeg.io.eeglab2mnepyeeg.io.extract_duration_audiopyeeg.io.extract_duration_praatpyeeg.io.fieldtrip2mnepyeeg.io.get_sentence_positionpyeeg.io.get_word_onsetspyeeg.io.get_word_vectorspyeeg.io.load_close_valuespyeeg.io.load_depth_valuespyeeg.io.load_ica_matricespyeeg.io.load_matpyeeg.io.load_open_valuespyeeg.io.load_surprisal_valuespyeeg.io.load_wordfreq_values
- Preprocessing module
- Modelling
- Utilities
- Simulation module
- Vizualisaton
- Functions
pyeeg.vizu.significance_overlaypyeeg.vizu.pairwise_boxplotspyeeg.vizu.plot_interactivepyeeg.vizu.topomappyeeg.vizu.get_spatial_colorspyeeg.vizu.colormap_maskedpyeeg.vizu.plot_trf_signipyeeg.vizu.plot_filterbankpyeeg.vizu.plot_filterbank_outputpyeeg.vizu.topoplot_arraypyeeg.vizu.plots_topogrid
- Functions
Other