highspeed-decoding/README.md

Highspeed Decoding

Overview

This repository contains results of the multivariate pattern classification pipeline used in Wittkuhn & Schuck, 2020, Nature Communications.

Dataset structure

• /code contains all project-specific code with sub-directories /docs for project-specific documentation and /decoding for the code relevant to run the deoding pipeline
• /decoding contains the results of the decoding pipeline
• /bids contains the defaced BIDS-converted MRI dataset
• /fmriprep contains pre-processed MRI data
• /glm contains results of the first-level GLM pipeline used for feature selection
• /masks contains binarized anatomical masks and smoothed fMRI data

Citation

Wittkuhn, L. and Schuck, N. W. (2020). Dynamics of fMRI patterns reflect sub-second activation sequences and reveal replay in human visual cortex. Nature Communications.

A preprint (old version) is available at:

Wittkuhn, L. and Schuck, N. W. (2020). Faster than thought: Detecting sub-second activation sequences with sequential fMRI pattern analysis. bioRxiv. doi:10.1101/2020.02.15.950667

Contact

Please create a new issue if you have questions about the code or data, if there is anything missing, not working or broken.

For all other general questions, you may also write an email to:

• Lennart Wittkuhn
• Nicolas W. Schuck

License

All of the data are licensed under Creative Commons Attribution-ShareAlike 4.0. Please see the LICENSE file and https://creativecommons.org/licenses/by-sa/4.0/ for details.