A research group led by Prof. Cai Xinxia from the Aerospace Information Research Institute (AIR) of the Chinese Academy of Sciences developed a novel drug-loaded hydrogel-coated microelectrode array ...

SAN DIEGO — Scientists have developed better devices to help people with disabilities regain function. These findings will be presented at Neuroscience 2025, the annual meeting of the Society for ...

A research team has developed a nanocomposite-modified microelectrode array (MEA) that enables long-term, high-sensitivity monitoring of neuronal activity during hibernation. Their findings were ...

A new brain-computer interface (BCI) developed at UC Davis Health translates brain signals into speech with up to 97% accuracy—the most accurate system of its kind. The researchers implanted sensors ...

Microelectrode arrays (MEAs) are widely used for recording brain activity and stimulating neural tissues. However, conventional MEAs are typically flat, limiting their ability to conform to the ...

When someone loses the ability to speak because of a neurological condition like ALS, the impact goes far beyond words. It touches every part of daily life, from sharing a joke with family to simply ...

Brain-computer interface (BCI) technology is opening an unprecedented chapter in human-machine integration by establishing direct communication between the brain and external devices. Once a science ...

An advanced brain-computer interface (BCI) that can translate brain signals into speech with up to 97% accuracy, has restored the speech of a man with amyotrophic lateral sclerosis (ALS). "Previous ...

What are brain-computer interfaces? Brain-computer interfaces (BCIs) are devices that allow for the action or control of an external device from brain signals. These technologies have a broad range of ...

Explore how brain computer interface technology and advanced brain-computer interfaces are transforming digital interaction, potentially replacing traditional keyboards and screens with thought-driven ...

Anew brain-computer interface (BCI) developed at UC Davis Health translates brain signals into speech with up to 97 percent accuracy — the most accurate system of its kind. The researchers implanted ...