In the testing protocol, a Bayes Factor (BF) greater than 10 is interpreted as strong evidence for the alternative hypothesis (H1) that the difference in pairwise phase consistency is greater than baseline, while a BF less than 1/10 is interpreted as strong evidence for the null hypothesis (H0) that pairwise phase consistency is equal to baseline.

Authors

• Person: Not available Organization: PLOS ONE
  Protocol for testing global neuronal workspace and integrated ...

Sources

• Protocol for testing global neuronal workspace and integrated ... journals.plos.org PLOS ONE via serper

Referenced by nodes (3)

• pairwise phase consistency concept
• Bayes Factor concept
• null hypothesis concept