CaImAn is an open-software package that equips the neuroscience community with a set of turnkey, fast and scalable solutions to pre-processing problems arising in single cell calcium imaging data analysis.

Epigenomic and transcriptomic analysis reveals that paternal obesity influences sperm histone H3 lysine 4 tri-methylation enrichment and placenta gene expression, which in turn negatively impact its development and function in a manner that may contribute to metabolic disease in offspring.

Stride-related modulated firing by neurons of the cerebellar nuclei is required for smooth execution of practiced locomotion and persists more easily with synchronous than asynchronous Purkinje-mediated inhibition.

The evolutionarily conserved polarity protein Crumbs links the regulation of cytoskeleton dynamics and cell-cell adhesion with epithelial morphogenesis.

The numerous reports in support of action-value representation in the striatum are based on statistical analyses that are subject to two critical confounds and, thus, this long-held belief of striatal action-value representation should be retested using different experiments and analyses.

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.

Electron tomography and biochemical approaches demonstrate a direct role for WDR35, beyond integrity of the IFT-A holocomplex, in the formation and fusion of electron-dense-coated vesicles to the ciliary sheath and pocket for delivery of cargos necessary for axoneme elongation.

Independent dating techniques have established that the H. naledi fossils are between 236 and 335 thousand years old, indicating that small-brained hominins with relatively primitive body shapes co-existed with our early ancestors in Africa.

A statistically principled approach developed to estimate phase of rhythmic signals in real-time shows robustness to multiple sources of error and also provides confidence criteria.

Computational and theoretical analyses offer novel and unexpected insight into how complex, naturally occurring odor mixtures are parsed and normalized at the very first stage of olfaction.