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mwcole committed Dec 9, 2021
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Expand Up @@ -7,9 +7,9 @@ A toolbox to facilitate discovery of how cognition & behavior emerge from brain
## Visit [https://colelab.github.io/ActflowToolbox/](https://colelab.github.io/ActflowToolbox/) for more information

### Version info:
Version 0.2.6: Added combinedFC to the set of connectivity methods (current recommended best practice for activity flow mapping); see updated HCP_example Jupyter notebook for a demo
Version 0.2.5: Fixed minor bug related to applying parcel level non-circular code to subcortical data.
Version 0.2.4: Updated the non-circular code to be more efficient. Also created an easier and faster version of the non-circular approach that is at the parcel level (excluding all parcels within 10mm of the target parcel).
* Version 0.2.6: Added combinedFC to the set of connectivity methods (current recommended best practice for activity flow mapping); see updated HCP_example Jupyter notebook for a demo
* Version 0.2.5: Fixed minor bug related to applying parcel level non-circular code to subcortical data.
* Version 0.2.4: Updated the non-circular code to be more efficient. Also created an easier and faster version of the non-circular approach that is at the parcel level (excluding all parcels within 10mm of the target parcel).

### Cite as:
1) Cole MW, Ito T, Bassett DS, Schultz DH (2016). "Activity flow over resting-state networks shapes cognitive task activations". Nature Neuroscience. 19:1718–1726.http://dx.doi.org/10.1038/nn.4406
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* max_t.py - Permutation testing to control for FWE (as in Nichols & Holmes, 2002); t-test variants (t)
* regression.py - Compute multiple linear regression (with L2 regularization option)

[//]: # (This is tracking code for keeping track of visits to the repo; MWC)
[![Analytics](https://ga-beacon.appspot.com/UA-158202396-2/ga-beacon/ActflowToolbox/readme?pixel)](https://github.com/igrigorik/ga-beacon)

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