Understanding the intricate workings of the brain is a cornerstone of neuroscience. This research area employs a multidisciplinary approach, integrating molecular biology, cellular biology, and systems neuroscience to investigate the structure and function of synapses, neurons, and neuronal circuits.

The institute is actively engaged in investigating long-term potentiation (LTP) and long-term depression (LTD) in synapses using two-photon microscopy to visualize real-time synaptic changes during learning tasks. We utilize optogenetics to manipulate specific neuronal circuits involved in behaviors such as fear conditioning, elucidating their roles in complex behaviors. Additionally, we employ functional magnetic resonance imaging (fMRI) and electrophysiology to study brain region activity during cognitive tasks, establishing links between brain structure and behavior.

This research area focuses on uncovering the molecular and cellular mechanisms that contribute to brain disorders, aiming to identify potential therapeutic targets and biomarkers. By employing cutting-edge technologies, omics and high-throughput screening methods, we are seeking to elucidate the pathogenic mechanisms underlying various neurological and psychiatric conditions through the examination of molecular mechanisms, cellular processes, and neural circuits, and provides essential theoretical and experimental foundations for the development of novel therapeutics and early diagnostic techniques.

The institute is currently analyzing transcriptomes of neurons from patients with schizophrenia or autism to identify differentially expressed genes as potential biomarkers. We are investigating alterations in specific neural circuits in animal models of depression or epilepsy through electrophysiological recordings and behavioral assays. Furthermore, we conduct screenings of small molecules to identify compounds that modulate pathways in neurodegenerative diseases, assessing their effects on cellular models.

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.