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Supplemental Information

Details of proposed method Compression-Complexity Causality, which are not covered in the main paper

DOI: 10.7287/peerj.preprints.27416v1/supp-1

MATLAB toolbox for computation of Compression-Complexity Causality measure

DOI: 10.7287/peerj.preprints.27416v1/supp-2

Additional Information

Competing Interests

The authors declare that they have no competing interests.

Author Contributions

Aditi Kathpalia conceived and designed the experiments, performed the experiments, analyzed the data, contributed reagents/materials/analysis tools, prepared figures and/or tables, performed the computation work, authored or reviewed drafts of the paper, approved the final draft.

Nithin Nagaraj conceived and designed the experiments, performed the experiments, analyzed the data, contributed reagents/materials/analysis tools, prepared figures and/or tables, performed the computation work, authored or reviewed drafts of the paper, approved the final draft.

Data Deposition

The following information was supplied regarding data availability:

In the supplementary text, we provide details of our proposed method Compression-Complexity Causality (CCC), which are not covered in the main paper. The text also provides details of the MATLAB toolbox for computation of CCC, made available as supplementary material.

Funding

This work was supported by Tata Trusts and Cognitive Science Research Initiative (CSRI-DST) Grant No. DST/CSRI/2017/54. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.


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