RESEARCH
Research Activities
Living systems offer important clues for shaping the future of information and communication technologies. Our laboratory investigates the computational principles of biological neural networks (BNNs) through experimental neuroscience and computational modeling, and applies these insights to the development of brainmorphic computing systems for energy-efficient AI and biomedical applications.
Theme 1
Neuroscience
Neural basis of cortical information processing
- Computational role of spontaneous activity
- Struncture-function relationships in neuonal networks
- Plasticity in biological neural networks
Theme 2
Biological Intelligence
Biologically-inspired computing and beyond
- Physical reservoir computing using biological neurons
- Neural recordings with high-density multielectrode arrays
- Closed-loop control of biological neural networks
Theme 3
Microphysiological Systems
Disease modeling and novel alternative methods
- iPSC-derived human neurons for disease modeling
Keywords
- Recurrent neural network
- Reservoir comptuing
- Multivariate analysis
- Reinforcement learning
- MEMS
- Simulation
- Biocompatible materials
- Complex networks
- 3D printer
- Microfabrication
- Neuronal culture
- iPS cells
- Bioelectronics
- Learning and memory
- Fluorescence microscopes
