BCIwiki — Brain-computer interface news, research and industry database

Two national standards for brain-computer interfaces took effect in China on 1 August 2026, the first foundational standards the field has had there. GB/T 47023 defines a reference architecture for BCI systems; GB/T 47127 sets a common format for multimodal data, down to directory structure and file naming. Both carry the GB/T prefix, marking them as recommended rather than mandatory, so they bind no one by law and work only as far as industry and procurement choose to adopt them.

A preprint uses radio-frequency backscatter and near-field wireless charging to tackle the wireless-link and power constraints of implantable brain-machine interfaces, noting that while high-resolution microelectrode arrays enable precise brain readout and stimulation, the 32–128 Mbps links they need are too power-hungry for a long-lived implanted battery. The approach strips the transceiver electronics out of the implant, moving complexity to the external reader to cut implant power, and powers the neural recording and stimulation chips via magnetic coupling. Preliminary tests validate the feasibility of the design; the study has not been peer reviewed.

This preprint introduces EasyBCI, which the authors say automates BCI preprocessing across six signal types with a two-phase large language model agent. The study is a preprint and has not been peer reviewed. On EEG with a fixed linear classifier, the authors report that all five EasyBCI backbones preserve more task-relevant separability than the manual pipeline, and that the system extends to five additional modalities spanning nearly three orders of magnitude in sampling rate.

Researchers released a multi-paradigm longitudinal EEG dataset from 24 stroke patients, covering a novel 'sixth-finger' motor imagery paradigm and affected-hand motor imagery. The dataset spans the full pre-training, post-training and follow-up stages and includes raw EEG, preprocessed data and patient clinical information. Preliminary analysis with classical classifiers (CSP+SVM, CSP+LDA) kept average cross-paradigm classification accuracy at roughly 85%–86%.

Zhejiang Provincial People's Hospital performed China's first 320-resolution visual BCI implant; a woman blind for nearly 20 years reportedly reads, writes and walks again.

A study of 60 patients with subacute stroke hemiplegia found that adding motor imagery brain-computer interface training to conventional rehabilitation significantly improved upper limb motor function, simplified upper limb function scores, and daily living abilities. The experimental group of 30 received 3 weeks of additional BCI training, 5 days per week, while the control group received only conventional rehabilitation. The experimental group showed greater improvements in Fugl-Meyer upper limb scores, simplified upper limb function scores, and Barthel Index, with statistically significant differences.

Researchers evaluated the technical feasibility of a multimodal imaging workflow for deploying Synchron's Stentrode endovascular brain-computer interface in a human head phantom. The workflow — thin-slice CT, transfer of DICOM data to an external core laboratory for target identification and marking, re-import of the marked CT, 3D rotational angiography, and registration with the marked reconstruction and intraoperative fluoroscopy — produced a dataset suitable for anatomical analysis, with the core laboratory marking the intended deployment region and the markings persisting through transfer and re-import, and the annotated CT fusing with 3D angiography without significant misregistration or artifacts. The authors say the workflow can generate intraprocedural targeting guidance for Stentrode deployment, as a preclinical technical validation.

Surgeons in eastern China have implanted a brain-computer interface in a man who has been unable to move his limbs for more than two years. Eight ultraflexible electrodes sit 4 mm into his cortex, wired to a chip mounted on the skull. It is the first invasive BCI operation performed in Shandong province, and the patient now begins up to six months of training to control devices by thought.

Researchers achieved closed-loop speed control of freely swimming eels through lateral-line nerve stimulation, with a proportional-derivative feedback controller dynamically adjusting stimulation frequency. The biohybrid system reduced velocity deviations by 63.7% (forward) and 50.6% (backward) compared to fixed-frequency stimulation.

Researchers at the University of Michigan, Ann Arbor have built SpikeCleaner, an algorithm that grades neural units after automated spike sorting, reaching 97% accuracy and a 92% F1 score on single units in benchmarking. It combines spike rate, spike-timing metrics and waveform features to classify units as good, noise or multi-unit activity, a job that otherwise falls to manual curation.