An analysis of the first complete synaptic resolution connectome of Drosophila's navigation circuit uncovers neural network motifs supporting broadly relevant sensorimotor computations.

A common genomic deletion in various human cancers disrupts mitochondrial protein homeostasis in a way that might be targeted by existing drugs.

In a consumer-resource model obeying the physical requirement of flux conservation, metabolic competition between microbes yields consortia of cell types that collectively resist invasion via optimal use of resources.

A principle from which the neuronal dynamics and synaptic plasticity in arbitrary network architectures can be inferred, so that output errors are online minimized while simultaneously processing sensory input streams.

New experiments and theory reveal how the ability to see image details depends upon photoreceptor function and eye movements, and how fruit flies (Drosophila) see spatial details beyond the optical limit of their compound eyes.

Extensive field studies in poison frogs reveal that sex and species differences in parental behavior drive differences in space use patterns but not navigational performance and highlight the interplay between androgen levels and poison frog spatial behavior.

An inference paradigm for extracting neuronal correlations from two-photon imaging data, without requiring intermediate spike deconvolution, provides significant performance gains over existing methods as demonstrated by theoretical analysis, simulation studies, and real-data applications.

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