03 / communication and control
Brain–computer interfaces and sensory substitution
A brain–computer interface, or BCI, translates measured neural activity into control signals for software, cursors, communication tools, or assistive devices. Noninvasive systems often use EEG; implanted systems can record closer to neural tissue. The general concept is described in the brain–computer interface reference overview, but practical performance depends on signal quality, training, hardware, and user needs.
Representative research includes communication support for people with severe paralysis, control of robotic or computer interfaces, and feedback systems paired with rehabilitation. Much of the most visible work remains early-stage, highly specialized, or limited to small cohorts. Implanted systems raise additional questions about surgery, device durability, privacy of neural data, consent, maintenance, and equitable access.
Sensory substitution
Sensory substitution delivers information through a remaining sensory channel: for example, tactile or auditory cues that stand in for visual, balance, or proprioceptive information. These tools can support navigation, feedback, or task performance, but they generally require training and should not be framed as restoring a lost sense in a simple one-to-one way.
Evidence is most useful when it specifies who was studied, what changed, how long change lasted, and what trade-offs participants experienced.
For people sorting claims about experimental care, the Regulatory & Trials Atlas is designed to keep verification questions visible: which product or protocol is being discussed, where it is studied, and whether an outcome is preliminary, replicated, or regulated for a defined use.