Understanding the Computational and Neural Mechanisms of Meta-Intelligence

We view humans as hierarchical adaptive systems composed of the brain, body, and environment. Rather than studying learning, memory, decision-making, motor control, and bodily awareness as separate functions, we aim to understand them through the concept of meta-intelligence: the capacity of the brain to evaluate its own internal state and to select and regulate appropriate memories, skills, and learning strategies. By integrating behavioral experiments, computational modeling, neural recording, robotics, artificial intelligence, and causal neural intervention, we seek to uncover the computational principles and neural mechanisms of meta-intelligence and to establish new design principles for neurorehabilitation and artificial adaptive systems.