We are working on understanding fundamental mechanisms of brain science, such as perception, learning and memory, decision-making, and motor control, and methodologies and algorithms of data analysis, modeling, and visualisation, with collaborators of experimentalists.
Topics: our research topics in line with this project are A computational framework of associative learning and memory formation, spanning data analysis of brain recordings (electrophysiology and imaging) of animals (mice, rate, and primates) and humans, and computational models at the level of dendrites, neurons, neuronal circuits, and brain areas.
We are working on leveraging machine learning techniques to design novel medicines, such as molecular drugs and therapies, for treatments of brain diseases with collaborators from clinicians.
Topics: our research topics in line with this project are A multilevel computational framework for brain diseases, spanning data analysis of molecule drugs and brain recordings (electrophysiology and imaging) of humans, and computational models at the level of molecules, cells, cell networks, and brain areas.
We are working on using brian signals to develop novel treatment methods provied by neuroprosthsis for brain diseases.
Topics: our research topics in line with this project are Brain-inspired See-Think-Act Intelligent Machines, spanning data analysis of physical devices installed with various types of sensors, and computational models under different tasks of sensory perception, decisions making, and motor control. The aim is to develop novel therapies to treat brain disorders.