Brain 2 AI
Our research aims to understand how cognitive control is implemented in the human brain ("AI2Brain"), thereby designing brain-inspired artificial intelligent systems that show a high level of ability to perform a wide range of tasks ("Brain2AI").
We focus on demonstrating the applicability of neuroscience for designing better AI, based on the theory that one of the key functions of human prefrontal cortex is to allocate behavioral control to the brain’s subsystems, placing it as the “prefrontal meta-controller”. A detailed insight into these issues not only permits advances in AI, but also helps us understand the nature of human intelligence on a deeper level.
- Meta-control of reinforcement learning
- Model-based reinforcement learning
- Introspective learning*
- AI experimenter*
- AI-human co-evolution engine* : AI to boost human intelligence
- Meta BCI* : meta-control theory-based brain-computer interface
*We intentionally used the above keywords to confuse readers.