Researchers at Incheon National University have developed an innovative method to improve next-generation wireless networks. Their approach ensures faster, more reliable connections by simplifying how large amounts of signal data are managed and using artificial intelligence to predict and correct errors. The findings promise significant benefits for high-speed travel, satellite communication, and disaster response applications.

Overview

A research team led by Associate Professor Hiroto Sekiguchi and graduate student Gota Shinohara from the Department of Electrical and Electronic Information Engineering at Toyohashi University of Technology, in collaboration with Professor Takuya Sasaki and Project Researcher Tasuku Kayama from Graduate School of Pharmaceutical Sciences, Tohoku University, has successfully developed a hybrid neural probe that integrates MicroLEDs with neural electrodes. This innovative device enables precise control of neural activity and simultaneous multi-site recording within deep biological tissues.

In recent years, optogenetic techniques (Note 1) have enabled the control of neural activity by applying light externally to the organism. However, conventional optical fiber-based methods are limited to controlling single groups of neurons and face challenges in independently manipulating multiple neural regions with precision. Furthermore, the use of light stimulation alone is insufficient to fully elucidate the complex mechanisms underlying neural network information processing and signal propagation. As a result, there is a strong demand for technologies that integrate light stimulation with high-resolution recording of neural activity.

To address these challenges, our research team developed a novel hybrid neuroscience probe by integrating multi-point MicroLEDs with neural electrodes using a proprietary bonding technique. This hybrid probe enables simultaneous light stimulation and neural activity recording. Using this device, we successfully observed neural responses induced by light stimulation in the mouse brain with high spatial and temporal resolution. These findings mark a significant step forward in understanding neural network dynamics and offer new opportunities for developing treatments for neurological disorders as well as advancing neuroscience research.

The results of this study were published online in Applied Physics Express on 2, 10, 2025.

Electric sparks are used for welding, powering electronics, killing germs or for igniting the fuel in some car engines. Despite their usefulness, they are hard to control in open space, they split into chaotic branches that tend to go towards the closest metallic objects. A recent study uncovers a way of transporting electricity through air by ultrasonic waves. The level of control of the electric sparks allows to guide the spark around obstacles, or to make it hit specific spots, even into non-conductive materials.