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.

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.

A brain–computer interface for real-time identification of transient neural activity patterns enables causal inference of the role of these patterns in cognition through closed-loop manipulation.

Cervical spinal cord stimulation evokes sensory percepts in the missing hand and arm of people with upper-limb amputation, regardless of amputation level or time post-amputation.

Convolutional neural networks can decode whether a person is listening to a speaker on the left or right solely from 1 to 2s of EEG data.

New computer algorithms have allowed people with paralysis to achieve the highest reported typing performance using a brain-computer interface.

Neural ensemble activity in the human motor cortex contains dynamical structure that is independent of movement parameters and is not well-explained by current models.

An area of visual-motor cortex called the lateral intraparietal area encodes eye position signals that support visually-guided behaviors and image stabilization.

Existing artificial retinas produce distorted and imprecise activation of the visual system, but reverse engineering promises to refine the induced activation patterns.

Cascades of transient pairwise interactions, stabilized by multisensory inputs, drive the formation of a well-organized social structure from a group of loosely distributed flies.