https://github.com/mvdoc/ipynb-t1i1-seq
Example on how to use T1I1 sequences for stimulus order using Geoffrey Aguirre Lab's tools
https://github.com/mvdoc/ipynb-t1i1-seq
Last synced: about 1 year ago
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Example on how to use T1I1 sequences for stimulus order using Geoffrey Aguirre Lab's tools
- Host: GitHub
- URL: https://github.com/mvdoc/ipynb-t1i1-seq
- Owner: mvdoc
- Created: 2017-03-06T19:18:11.000Z (over 9 years ago)
- Default Branch: master
- Last Pushed: 2017-03-06T19:35:24.000Z (over 9 years ago)
- Last Synced: 2025-04-09T21:49:29.880Z (about 1 year ago)
- Language: Python
- Homepage:
- Size: 50.8 KB
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
This is an example jupyter notebook to show how to use a [Type-1,
Index-1 (T1I1)
sequence](https://cfn.upenn.edu/aguirre/wiki/public:t1i1_sequences) to
obtain ordering of the stimuli for fMRI experiments. It is based on [Geoffrey Aguirre
Lab](https://cfn.upenn.edu/aguirre/wiki/)'s Python code, which is
available
[here](https://cfn.upenn.edu/aguirre/wiki/public:web-based_sequence_evaluator)
and added to this GitHub repository. All credits for the implementation
go to [Geoffrey Aguirre Lab](https://cfn.upenn.edu/aguirre/wiki/) and
Daniel M. Drucker.
[Jupyter Notebook](compute_sequences.ipynb)