Equivalence testing and Bayes factors are informative statistical methods for analyzing replication studies of original studies with null results, and can address the limitations of the commonly used non-significance criterion.
Perception is proposed to be a dynamic motor-sensory closed-loop process in which information flows through the environment and the brain in continuous loops, converging towards steady-state percepts.
Robin AA Ince, Angus T Paton ... Philippe G Schyns
Bayesian estimation of the proportion of the population that would show an effect in an experiment provides a broadly applicable alternative to standard null hypothesis tests on the population mean with several advantages.
Task controllability manipulations reveal that information seeking is associated with reduced confidence and active hypothesis testing, as well as stronger neurophysiological correlates of attention and arousal.
Silas Boye Nissen, Tali Magidson ... Carl T Bergstrom
Publication bias, in which positive results are preferentially reported by authors and published by journals, can restrict the visibility of evidence against false claims and allow such claims to be canonized inappropriately as facts.
Joshua T Vogelstein, Eric W Bridgeford ... Cencheng Shen
Multiscale Graph Correlation, an interpretable hypothesis test with strong theoretical guarantees for discerning relationships in complex data, requires about half the sample size as other methods, whilst maintaining computational tractability.
A novel methodological framework for cross-frequency coupling and spike-field coherence in multichannel (LFP, EEG, MEG) electrophysiology data reveals new manifestations of coupling dynamics.
Some species of bats hunt for insects that are resting on surfaces by detecting interruptions in the echoes from that surface, suggesting that resting on rough surfaces may help insects to evade detection by echolocation.