Dataset: Information-theoretic measures predict the human judgment of rhythm complexity

Contributors:
  1. Tim Blackwell
  2. Oded Ben-Tal
  3. Daniel Müllensiefen

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Category: Data

Description: Data and analysis for de Fleurian et al. (2017)

License: CC-By Attribution 4.0 International

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Paper This dataset contains the collected data and analysis script for: de Fleurian, R., Blackwell, T., Ben-Tal, O., & Müllensiefen, D. (2017). Information-theoretic measures predict the human judgment of rhythm complexity. Cognitive Science, 41(3), 800–813. doi: 10.1111/cogs.12347 Corrigendum In Table 2, the values for excess entropy should be 0.174 and 0.378 instead of 0.208 and 0.361 (still no...

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