A modelling-based analysis reveals a novel type of selectivity for chromatic contrast in a mouse retinal ganglion cell type, and experimental evidence shows that this feature makes this cell type well suited for detecting behaviourally relevant changes in visual context.

Neurons in the fruit fly olfactory system respond most strongly to the sudden appearance of an odor, and to odors that are changing rapidly in strength, but are relatively insensitive to the absolute levels of an odor.

The convergence of two visual pathways at the level of retinal bipolar cells accounts for key features of ganglion cell responses.

New computational models provide insights into how the insect brain estimates the speed and direction of movement.

Mathematical methods based on geometry that directly embody the developmental concepts of competency, commitment, and determination provide succinct descriptions of morphogenesis and allow quantitative predictions from fits to sparse genetic data in Caenorhabditis elegans.

Classical theoretical approaches to studying the cerebellar cortex are generalized to a broader set of learning tasks, revealing that the optimal value for the sparsity of granule cell activity is task-dependent.

Prediction of future input explains diverse neural tuning properties in sensory cortex.

A computational framework enables the inference of hydrodynamic continuum models for collective cell migration from live-cell imaging data recorded in zebrafish embryos.

Many V1 double-opponent cells integrate light information across their receptive fields as linearly as simple cells do.

Neural sensory representations impose an inductive bias over the space of learning tasks, allowing some tasks to be learned by a downstream neuron more sample-efficiently than others.