Reward and information are independently optimized in the human prefrontal cortex, while their signals combine in subcortical regions.

Decoding of neural outcome and response representations allows dissecting goal-directed and habitual contributions to behaviour and reveals how acute stress biases the instrumental control of behaviour.

Quantitative 4D image analysis identifies a group of cells which enter into the otic primordium during morphogenesis and instructs neuronal specification.

Heterozygosity changes the balance between interfering and non-interfering crossovers during Arabidopsis meiosis.

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.

Behavioral and computational results show that the perception of our body as our own depends on Bayesian probabilistic reasoning that take into account the variations in sensory uncertainty when integrating visual and somatosensory cues.

In silico modeling identify allosteric CXCR4 modulators that block receptor nanoclustering and chemoattractant sensing without affecting other CXCL12-mediated functions, and reduce tumorigenesis and metastasis in a zebrafish model.

Mouse self-initiated behaviors can be identified seconds prior to action and have similar neuro-dynamical structure to neural dynamics underlying human voluntary actions supporting the use of mouse models in self-initiated and volitional action research.

Sarcomeres in heart muscle cells come from stress fiber-like structures that are mechanistically distinct from stress fibers in non-muscle cells.

The representation of the retina in early visual cortex shows that human brains have diverse functional organizations, raising questions about developmental mechanisms for visual map formation and how reliably these can be described by average templates.