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.

Model based on Bayesian cue combination shows that procedural motor learning is driven by perceptual error in localizing one's effector.

Attractive and repulsive history biases in visual perception occur simultaneously, yet over dissociable timescales, and are explained by efficient encoding and Bayesian decoding of visual information in a stable environment.

Bayesian simulator-based inference is used to infer the parameters of complex multicompartment models of retinal neurons from two-photon imaging data.

In this ideal example of pharmacogenomics, individuals with a common variant in a gene encoding for an inflammatory lipid mediator benefit selectively from standard-of-care anti-inflammatory treatment used for tuberculous meningitis.

A novel Bayesian method of modeling retinotopic maps is more accurate than traditional voxel-wise methods and can be used to automatically derive high-quality maps.

A Bayesian model of phase angles illustrates a novel approach to the analysis of phase coherence in frequency-tagged experiments.

Chromosomal instability of cancer can be quantitatively measured by phylogenetic analysis of 200 tumor cells while using evolutionary principles to account for cellular selection.

For analyzing time-dependent patch-clamp or patch-clamp fluorometry data of ion channels in terms of Markovian models, the superiority of Bayesian filtering with respect to traditional deterministic approaches is demonstrated enabling more reliable quantification of the parameters.

The dependence of incentive value attribution on the anticipation of rewards within a given context is explained via a normative Bayesian account of how rewards map to incentive values.