Brain-Inspired Computing and Brain-Computer Interface Technologies

Bridging neuroscience and technology holds the potential to revolutionize the way individuals interact with the world. Brain-Inspired Computing and Brain-Computer Interface (BCI) Technologies represent significant advancements in this field, aiming to interpret neural signals to assist individuals with physical and visual impairments. This initiative focuses on developing systems that enable intuitive control of devices through brain activity, exploring methods for capturing brainwaves and other neural signals. By applying advanced signal processing and artificial intelligence technologies, we seek to automatically interpret simple human intentions, empowering individuals, particularly those with disabilities, to perform tasks independently. Ultimately, this research aims to create non-contact, brainwave-controlled devices that enhance the quality of life and promote autonomy for individuals facing challenges in their daily activities.

The institute is actively designing EEG-based non-invasive devices that interpret user intentions for controlling robotic arms or cursors through thought. We are creating machine learning algorithms to enhance intention detection accuracy from neural signals, improving BCI usability for motor-impaired individuals. Additionally, we collaborate with rehabilitation centers to refine BCI technologies in practical settings, enabling visually impaired individuals to navigate using auditory feedback based on brain activity.