| Multivariate Pattern Analysis in Python

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This content refers to the previous stable release of PyMVPA. Please visit www.pymvpa.org for the most recent version of PyMVPA and its documentation.

# misc.io.meg

## Module: `misc.io.meg`

Inheritance diagram for `mvpa.misc.io.meg`:

IO helper for MEG datasets.

## `TuebingenMEG`

class `mvpa.misc.io.meg.``TuebingenMEG`(source)

  Bases: `object`

  Reader for MEG data from line-based textfile format.

  This class reads segmented MEG data from a textfile, which is created by converting the proprietary binary output files of a MEG device in Tuebingen (Germany) with an unkown tool.

  The file format is line-based, i.e. all timepoints for all samples/trials are written in a single line. Each line is prefixed with an identifier (using a colon as the delimiter between identifier and data). Two lines have a special purpose. The first ‘Sample Number’ is a list of timepoint ids, similar to range(ntimepoints) for each sample/trial (all concatenated into one line. The second ‘Time’ contains the timing information for each timepoint (relative to stimulus onset), again for all trials concatenated into a single line.

  All other lines contain various information (channels) recorded during the experiment. The meaning of some channels is unknown. Known ones are:

  > M*: MEG channels EEG*: EEG channels ADC*: Analog to digital converter output

  Dataset properties are available from various class attributes. The data member provides all data from all channels (except for ‘Sample Number’ and ‘Time’) in a NumPy array (nsamples x nchannels x ntimepoints).

  The reader supports uncompressed as well as gzipped input files (or other file-like objects).

  Reader MEG data from texfiles or file-like objects.

  Parameters: | source (str | file-like) – Strings are assumed to be filenames (with .gz suffix compressed), while all other object types are treated as file-like objects.

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