MEG Software and Analysis: Difference between revisions
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==== MEG |
==== MEG Data Analysis ==== |
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pyctf tools are a collection of Python scripts useful in the analysis of data sets collected from the CTF scanner. |
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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. |
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<syntaxhighlight lang="bash"> |
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parsemarks.py |
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usage: parsemarks.py [-h] [-l] dataset |
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* [[CTF Tools|The CTF Tools in a Singularity Container]] |
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Extract the marks from the marker file associated with dataset |
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and print themin a useful format. |
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* [[Pyctf|Accessing CTF Datasets from Python]] |
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positional arguments: |
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dataset path to CTF dataset or MarkerFile.mrk (required) |
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optional arguments: |
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-h, --help show this help message and exit |
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-l the marks are labeled in the ouput. Useful for debugging. |
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</syntaxhighlight> |
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==== Stimulus Presentation Software ==== |
==== Stimulus Presentation Software ==== |
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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!'' |
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!'' |
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* [https://pstnet.com/products/e-prime/ E-Prime 3.0 website] |
* [https://pstnet.com/products/e-prime/ E-Prime 3.0 website] |
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===== MEG Data Analysis ===== |
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* [[CTF DataEditor|Viewing raw data: the CTF Data Editor]] |
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* [[Dataset and Task Utilities|Preprocessing: Dataset and Task Utilities]] |
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====Miscellaneous Documentation==== |
====Miscellaneous Documentation==== |
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* [[Image:adobe-ps.png]] [[Media:SensLayout-275.ps|SensLayout-275]] — a color picture showing the sensor names and relative locations (ps). |
* [[Image:adobe-ps.png]] [[Media:SensLayout-275.ps|SensLayout-275]] — a color picture showing the sensor names and relative locations (ps). |
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* [[Image:pdf.png]] [[Media:SensLayout-275.pdf|SensLayout-275]] - a color picture showing the sensor names and relative locations (pdf). |
* [[Image:pdf.png]] [[Media:SensLayout-275.pdf|SensLayout-275]] - a color picture showing the sensor names and relative locations (pdf). |
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* [[Image:pdf.png]] [[Media:FileFormats.pdf|File Formats]] - CTF MEG data file format |
Revision as of 16:10, 23 September 2020
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.
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!
Miscellaneous Documentation
- SensLayout-275 — a color picture showing the sensor names and relative locations (ps).
- SensLayout-275 - a color picture showing the sensor names and relative locations (pdf).
- File Formats - CTF MEG data file format