Neuroscience · Cognitive Neuroscience
Researchers tested a flexible dry in-ear EEG sensor in 15 healthy adults and compared its recordings with standard scalp electrodes. The ear sensor recorded brain responses that closely resembled signals from a nearby temporal scalp site, particularly during auditory tasks.
A single high-density brain implant supported simultaneous decoding of attempted speech and gestures in people with paralysis. The signals allowed participants to control a personalized virtual avatar using speech, gestures or both together.
Researchers found that information flow between major brain networks differed between autistic participants and non-autistic controls. An artificial-intelligence system classified the two groups with a mean accuracy of 91% across cross-validation, but the study does not establish a clinical biomarker.
Brain stimulation separated motion-discrimination accuracy from confidence in perceptual decisions. Strengthening one visual pathway affected both measures, while disrupting a parietal brain region changed confidence-related performance without altering motion discrimination.
Neural networks running on low-power microcontrollers decoded surface muscle signals in real time, a requirement for wearable devices and prosthetic control. On a large-scale benchmark, the models matched or exceeded earlier accuracy with up to 5,000 times lower computational cost in resource-constrained settings.
