Firing rate nonlinearity recovers linear decodability of orientation information from simple cells of the primary visual cortex under uncertainty of nuisance parameters phase and spatial frequency.

Dendrites combine the inputs that they receive from other neurons using calculations that have been optimized for those particular input patterns.

A combination of electrophysiology and quantitative modeling shows that subtle changes in input due to adaptation in cone phototransduction control the linearity or nonlinearity of how ganglion cells integrate spatial inputs.

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

Multi-electrode recordings and modeling are combined to reveal the transformations of signals from cones to bipolar cells and then to ganglion cells within the primate retina.

A combination of physiological and perceptual experiments show that the responses of rod photoreceptors inhibit those of cones more than vice versa, and reveal both the site of the retinal interaction and the underlying mechanism.

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

Close friend quantity is nonlinearly associated with various mental health and cognitive outcomes in children and could be partly explained by the structure of the social brain and the endogenous opioid system.

Prefrontal cortex plays a leading role in sequential decisions compared to posterior parietal cortex and relies on nonlinear integration of sensory and mnemonic information for decision formation.

A computational model of the opponent neural architecture the basal ganglia, in tandem with adaptive dopamine modulation, exhibits robust advantages over traditional learning algorithms and ties together seemingly aberrant behavioral patterns resulting from dopamine and environmental manipulations across species.