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

Researchers report that more than 150 children worldwide have received implanted brain-computer interfaces, a number expected to grow quickly as the devices reach the market. A 2026 paper in Neurorehabilitation and Neural Repair spells out a roadmap for pediatric iBCI development, including work from the first International Virtual Summit on Implanted BCIs for Children with Complex Needs and workshops at the 11th International BCI Society Meeting. It highlights unresolved questions about early-life implantation and pediatric indications that must be answered before the technology is deployed widely in children.

Seven Chinese ministries, led by the Ministry of Commerce and including the National Development and Reform Commission and the Ministry of Industry and Information Technology, jointly issued implementing opinions on expanding and upgrading consumer goods (《关于推动商品消费扩容升级的实施意见》). In a section on products for older adults, the document calls for stronger R&D on key technologies and core components and for wider use of brain-machine integration and artificial intelligence in age-friendly products and rehabilitation aids. Brain-computer interfaces have until now figured mainly in China's science and industrial planning documents; framing them as consumption policy aimed at two named product categories is new, and the text was published in the State Council's policy document database, the central government's official repository for such documents.

The Shenzhen Municipal Bureau of Science, Technology and Innovation (深圳市科技创新局) in southern China and the city's Bureau of Justice have opened public consultation on draft regulations to promote the brain-computer interface industry in the Shenzhen Special Economic Zone, a status that carries authority to write binding local rules of the city's own. According to Jiemian News, a Chinese business news outlet, the draft defines a BCI as technology that opens an information channel between the brain and external devices for coordinated interaction between biological and machine intelligence, and states that the municipal government shall write BCI industry development into the city's economic and social development plan and its science and innovation plan. On data, the report says processing brain data and other sensitive personal information would require separate written consent from the individual, alongside strict compliance with national rules on cross-border data transfer; legislating specifically for the BCI industry in special economic zone regulation form is a first in China.

Implantable brain-computer interfaces are shifting from rigid silicon architectures to soft, structurally adaptive systems built for seamless, long-term integration with neural tissue, according to a review of flexible electrode materials and structural design published in SmartMat on August 31, 2026. Breakthroughs in materials science and micro/nanofabrication have given this generation of devices mechanical compliance, robust interfacial adhesion and high-fidelity signal acquisition that earlier designs could not reach, the review says. Long-term stability at the electrode-tissue interface remains one of the core bottlenecks for invasive BCI.

A team from the University of Utah, Kangwon National University and the University of Georgia describes a silicon-free route to neural microelectrode arrays: soft polymeric 3D microneedles are printed by two-photon polymerization, then turned into electrodes by injecting liquid gallium into the hollow channels. A newly defined retention number predicts whether the gallium stays put under physiological conditions. Coating the surface with gold nanoparticles and PEDOT doped with tetrafluoroborate cut impedance by roughly 3 orders of magnitude, and in vivo recordings in an invertebrate model captured neural spikes with no gallium leakage. The study was published in ACS Sensors on August 31, 2026.

Researchers at the University of Colorado Boulder have built ERP-XTTN, a cross-attention model that classifies event-related potentials (ERPs) in users it has never seen, with no per-user calibration. Across three public datasets and eight ERP components, it trailed the best baseline by 0.025 AUROC on average using only three channels. The work appeared in the Journal of Neural Engineering.

Researchers at the Second Affiliated Hospital of Xi'an Jiaotong University in northwestern China and the Key Laboratory of Biomedical Information Engineering of the Ministry of Education have built an in vitro screening platform combining electrospun PLCL with inkjet-printed reduced graphene oxide (rGO) and growth-factor micropatterns. Because it varies conductive, biochemical and topographical cues together, the platform can evaluate printing parameters and electric-field strength in a single system. Under 150 mV/cm direct-current stimulation, PC-12 cells showed more neurite-like outgrowth and better alignment than with no stimulation or at 300 mV/cm.