An optimization principle allows natural-image data to predict human sensitivity to synthetic, un-natural textures with multiple gray levels.

Psychophysical measures of human sensitivity to visual patterns reveal that the brain preferentially processes those features of stimuli that are more variable in the natural world.

Similar to T cell exhaustion, natural killer cell dysfunction in chronic hepatitis B patients results from deregulated calcium pathway.

Delivering specific patterns of electrical activity to the median nerve of the arm triggers reliable sensations of texture, suggesting that it may ultimately be possible to restore complex tactile information to users of prosthetic limbs.

Perceptual haptic representation of materials emerges from unsupervised learning as a consequence of efficient encoding of the physical signals at the input of tactile sensory system.

A theoretical model that uses maximally informative spectrotemporal features to classify vocalizations, trained solely on natural guinea pig vocalizations, predicts guinea pig behavioral performance in classifying natural as well as spectrotemporally manipulated vocalizations.

The aged human auditory cortex shows preserved tonotopy, but temporal modulations are represented with a markedly broader tuning, highlighting decreased temporal selectivity as a hallmark of the aging auditory cortex.

The visual message conveyed by retinal neurons to the brain when signaling natural scenes resembles the individual receptive fields only when viewed in context of the neuronal population.

Peripheral appearance models emphasising pooling processes that depend on retinal eccentricity will instead need to explore input-dependent grouping and segmentation.

Visual sensitivity to correlation patterns in rats matches that previously measured in humans, as well as predictions from efficient coding theory based on the statistics of natural images.