Measurements of physiological and geometrical parameters of the sieve tube system in Ipomoea nil provide strong support for pressure driven mass flow.

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.

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.

Open data provides an opportunity to perform new analyses on preexisting data, but trade-offs are required to limit an increase in false positives.

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.

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.

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.

An increased emphasis on falsification – the direct testing of strong hypotheses – will lead to faster progress in science by allowing well-specified hypotheses to be eliminated.