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Predicting age jointly from multimodal brain images and electrophysiology with machine learning enhances detecting health issues and facets of cognitive decline.

A novel species-sorting experiment finds that phylogenetically and functionally distinct microbial communities emerge under different temperature conditions due to the resuscitation of latent diversity.

A new deep-learning software toolkit with general-purpose methods for quickly and reliably measuring the full body posture of animals directly from images or videos without physical markers.

The anchoring properties of Ca_V β2 subunits to the plasma membrane determine the biophysical states of Ca_V2.2 channels by regulating PIP₂ coupling to the nonspecific phospholipid-binding site in the I–II loop.

The rapid and gradual fin whale songs changes adopted by individuals of a certain area provide evidence of vocal learning in this species, elucidate patterns of song evolution and hints on the limits of song variation.

Certain types of 3D chromatin loops are easy to predict from existing or easily obtainable 2D information, which benefits gene expression studies in tissues/cells/organisms without extensive pre-existing 3D information.

Relative to children and adults, adolescents placed greater weight on negative prediction errors during learning and these age-varying learning idiosyncrasies biased subsequent memory for information associated with valenced outcomes.

When learning the reward probability of novel cues, dopamine neurons convey dissociable value and novelty signals.

A neural network model of the hippocampus exhibits a division of labor across its two main pathways during category learning, with one pathway specializing in extracting systematic category information and another in encoding arbitrary details.

Keeping flexible adaptable representations of speech categories at different time scales allows the brain to maintain stable perception in the face of varying speech sound characteristics.