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

Artificially activating certain neurons in the cortex can make a tetraplegic patient feel naturalistic sensations of skin pressure and arm movement.

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.

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

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.

A canonical class III adenylate cyclase with a membrane anchor of six transmembrane spans is regulated by a receptor of similar design, the quorum-sensing receptor from Vibrio harveyi.

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

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.

Structures of CysZ show a antiparallel membrane protein with an unanticipated fold and together with functional characterization provide insight into a bacterial sulfate translocating system.

Using a sequential neurofeedback-arm reaching task, a new link is established among population neural activity patterns, generation of beta oscillations, and motor behavior changes.