Electrical and Computer Research

Two Brown students developed a new technique called Quantum Multi-Wavelength Holography, which creates high-fidelity 3D images using quantum entangled photons.

In a clinical trial and study supported by Brown scientists and alumni, a participant regained nearly fluent speech using a brain-computer interface that translates brain signals into speech with up to 97% accuracy.

In a breakthrough that could help revolutionize wireless communication, researchers unveiled a novel method for manipulating terahertz waves, allowing them to curve around obstacles instead of being blocked by them.

The novel approach helps advance wireless sensor technology and paves the way for one day using large populations of inconspicuous sensors in implantable and wearable biomedical microdevices.

Advancing a commitment to accessible robotics education, the Ph.D. student is researching how to simultaneously control multiple drones and teaching others how to build and operate them.

Using a brain-computer interface, a clinical trial participant who lost the ability to speak was able to create text on a computer at rates that approach the speed of regular speech just by thinking of saying the words.

A team of Brown University researchers created a solution to a nanoscale resolution challenge that has for decades limited the study of materials that could lead to more energy efficient semiconductors and electronics.

In an important step toward a medical technology that could help restore independence of people with paralysis, researchers find the investigational BrainGate neural interface system has low rates of associated adverse events.

A new study associated with the BrainGate consortium offered significant clues about how humans learn and form long-term memories; the findings could provide insights for developers of assistive tools for people with paralysis.

Scholars from Rice and Brown universities say that next-generation wireless networks that use the technology could be designed with built-in defenses against the ‘metasurface-in-the-middle’ attack.

With a massive shift under way toward more home-based health care delivery, more than 90 medical professionals and technologists gathered virtually to explore the challenges and opportunities that change presents.

The discovery of electrical signals in the brain associated with OCD could enable an emerging type of adaptive deep brain stimulation therapy as an improved treatment.

A new kind of neural interface system that coordinates the activity of hundreds of tiny brain sensors could one day deepen understanding of the brain and lead to new medical therapies.

Brown University researchers have developed a technique that could allow deep brain stimulation devices to sense activity in the brain and adjust stimulation accordingly.

Using a brain-computer interface, a clinical trial participant was able to create text on a computer at a rate of 90 characters per minute just by thinking about the movements involved in writing by hand.

In an important step toward a fully implantable intracortical brain-computer interface system, BrainGate researchers demonstrated the first human use of a wireless transmitter capable of delivering high-bandwidth neural signals.

A brain-computer interface study reveals one brain region’s surprising role in planning movements exclusively in response to sounds.

In a conversation with leaders of Brown’s Carney Institute for Brain Science, two Brown neuroengineers explored how brain-computer interfaces promise to help restore movement in people with brain or spinal disorders.