concept

null hypothesis

Also known as: H0

Facts (8)

Sources

Protocol for testing global neuronal workspace and integrated ... journals.plos.org PLOS ONE 6 facts

formulaIn the study's statistical framework, a Bayes Factor (BF) greater than 10 is interpreted as strong evidence for the alternative hypothesis (H1), while a Bayes Factor less than 1/10 is interpreted as strong evidence for the null hypothesis (H0).

claimThe researchers define a Bayes Factor (BF) greater than 10 as strong evidence for the hypothesis (H1) that decoding generalization is higher than chance, and a Bayes Factor less than 1/10 as strong evidence for the null hypothesis (H0) that decoding generalization is equal to chance.

claimIn the study, a Bayes Factor (BF) greater than 10 is interpreted as strong evidence for the hypothesis (H1) that decoding performance is greater in the posterior parietal cortex (PPC) and/or sensory regions, while a BF less than 1/10 is interpreted as strong evidence for the null hypothesis (H0) that performance is equal between regions.

procedureIn the testing protocol, a Bayes Factor (BF) greater than 10 is interpreted as strong evidence for hypothesis H1, which posits that decoding performance in the posterior parietal cortex (PPC) and/or sensory regions is greater than chance following prefrontal cortex (PFC) manipulation. A Bayes Factor less than 1/10 is interpreted as evidence for hypothesis H0, which posits that decoding performance is equal to chance after prefrontal cortex manipulation.

procedureIn 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.

claimThe researchers define a Bayes Factor (BF) greater than 10 as strong evidence for the hypothesis (H1) that the spike rate at stimulus offset is greater than the baseline spike rate, and a Bayes Factor less than 1/10 as evidence for the null hypothesis (H0) that the spike rate at stimulus offset is equal to the baseline spike rate.

Adversarial testing of global neuronal workspace and ... - Nature nature.com Nature Apr 30, 2025 2 facts

referenceRouder et al. (2009) describe Bayesian t-tests for accepting and rejecting the null hypothesis in Psychon. Bull. Rev. 16, 225–237.

procedureThe researchers derived null hypothesis parameters from the empirical null distribution by updating a tight prior centered at chance level (B(α=1,000, β=1,000)) with shuffle-based accuracies to incorporate bias present in the null distribution.