In an investigation into the effects of drugs on proteins, an active machine learning algorithm chose which sets of experiments to perform and was able to learn an accurate model of the effects after doing only a fraction of the experiments.

A new computational model explains how alternate rearing conditions affect the development of binocular vision.

Distinct computational levels of uncertainty compel agents to gain information about hidden states in the world (‘active inference’) or optimise their ‘world model’ as such (‘active learning’).

The brain has a central cortico-striatal learning circuit that suppresses ongoing pain after injury when actively learning about things that could remove the cause of the pain.

Female, but not male rats exhibit an active conditioned fear response, which challenges traditional approaches to measuring fear learning exclusively through freezing, and suggests that females use a more diverse set of threat strategies.

Dominant mutations in Arl3, linked to inherited retinal dystrophy, disrupt the active Arl3-GTP ciliary gradient and cause a defect in rod photoreceptor nuclear migration that can be rescued by elevating ciliary Arl3 activity or reducing aberrant non-ciliary Arl3 activity.

The synaptic ribbon regulates calcium channel clustering and proper vesicle dynamics at cochlear inner hair cells to ensure precise sound encoding.

Mice can use self-motion cues to learn a cognitive map thereby permitting them to take shortcut trajectories in an open maze without requiring prior experience of such routes.

A proposal for a complete cellular/network implementation of trial-and-error motor learning in the olivo-cerebellar system.