brain-computer-interfaces

ObjectiveTo examine the acceptance and influencing factors of brain-computer interface (BCI) technology among Chinese college students based on the extended Unified Theory of Acceptance and Use of Technology (UTAUT) model.MethodsA questionnaire survey was administered to 800 students recruited from 10 universities across eastern, central, and western China using a convergent mixed-methods design.…

Stroke recovery is increasingly understood as a process shaped by disrupted interactions among motor intention, descending motor output, peripheral movement, and sensory feedback, rather than by motor weakness alone. After stroke, residual motor intention may not be effectively translated into spinal motor output, peripheral movement may be too limited to provide sufficient sensory feedback, and …

For years, brain-computer interfaces (BCIs) have promised to help people with severe paralysis communicate. The technology is still experimental, but more researchers and companies like Neuralink and Synchron are now testing these devices in human clinical trials . Geneva-based Ability Neurotech is the latest to join their ranks, as it gears up to move its optical BCI from brief tests during surg…

When designing neuroprosthetic devices for users to control with their thoughts, engineers must take into account the sensory information brains collect from the environment and how it gets processed.

Brain implants, including deep brain stimulation (DBS) systems, brain–computer interfaces (BCIs), and speech neuroprostheses, are moving from the proof-of-concept stage to early clinical deployment. Although these systems target different clinical problems, we argue that they share a common closed-loop architecture (sensing, decoding, stimulation or output, power and telemetry, and chronic clinic…

Large Language Models (LLMs) aligned using Reinforcement Learning from Human Feedback(RLHF) are learning what to say from discrete, voluntary preference judgments, but not how their communication lands. The LLM does not know how different answers affect a listener’s cognition and emotion in real time, regardless of how intelligent the model is on benchmark tests. This becomes a major gap in devel…

Scientific Data, Published online: 17 August 2026; doi:10.1038/s41597-026-07809-9 EEG-based brain-computer interface (BCI) dataset for directional word recognition