FBS Colloquia No.173Center for Information and Neural Networks

ECoG-based Brain-Machine Interface -System development and neuroscience issues-l

Electrocorticogram (ECoG) has recently been attracting increased attention as a source signal for clinical Brain-machine interface (BMI) because it offers a good balance of features: less invasive than penetrating electrode methods, and a higher spatial resolution than EEG. In my presentation I introduce four topics below,
- BMI researches (Status quo)
- A fully implantable BMI system which we are developing in collaboration with Osaka University group
- Fundamental BMI technologies including multi-channel flexible electrode arrays
- Cortical adaptation observed in the brain connected with a BMI system.