MEG Software and Analysis

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MEG Core pyctf tools ported to Python 3

pyctf tools are a collection of Python scripts useful in the analysis of data sets collected from the CTF scanner. These tools have been rewritten using modern Python 3 syntax following standard coding conventions. Most of these programs will run unmodified under MacOS, Windows, and the various versions of Linux with a Python 3.4 distribution or later installed. Python programs requiring modules not included in the standard Python library are indicated.

parsemarks.py
usage: parsemarks.py [-h] [-l] dataset

Extract the marks from the marker file associated with dataset 
and print themin a useful format.

positional arguments:
  dataset     path to CTF dataset or MarkerFile.mrk (required)

optional arguments:
  -h, --help  show this help message and exit
  -l          the marks are labeled in the ouput. Useful for debugging.

Stimulus Presentation Software

PsychoPy: Psychology software in Python PsychoPy is an open-source application that allows you to run a wide range of neuroscience, psychology and psychophysics experiments. It’s a free, powerful alternative to Presentation™ or to e-Prime™, written in Python (a free alternative to Matlab™ ).

Presentation: NeuroBehavioral Systems (NBS), Inc. Presentation® is a stimulus delivery and experiment control program for neuroscience written for Microsoft Windows.

E-prime 3: Psychology Software Tools E-Prime® 3.0 software for behavioral research. Build your own experiments using E-Prime’s easy-to-use graphical interface. Design, collect, and analyze data – all within a few hours!

MEG Data Analysis

This section covers all aspects of MEG data analysis. The following pages assume that you have AFNI installed and have a reasonably good idea of how to use it.

Miscellaneous Documentation

  • Adobe-ps.png SensLayout-275 — a color picture showing the sensor names and relative locations (ps).
  • Pdf.png SensLayout-275 - a color picture showing the sensor names and relative locations (pdf).