Research Overview

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We link brain, intelligence, and robotics—deriving principles from neural and behavioral evidence, modeling them into theories and algorithms, and validating them in robotic tasks and scenarios.

Brain: neural & behavioral evidence

We investigate spatial cognition through multi-region neural recordings and behavioral evidence, uncovering how parallel pathways coordinate perception, memory, decision-making, and motor control during navigation.

Intelligence: theories & models & algorithms

We aim to develop theories of intelligence by replicating neuronal activity with minimal computational models, modeling the whole mouse brain as a digital twin, explaining representation data through theory to predict experimental outcomes, and ultimately creating brain-inspired AI algorithms.

Robotics: tasks & platforms & scenarios

We aim to build robots with human-level intelligence for dynamic environments—pioneering brain-inspired navigation, developing bioinspired robots, and enabling applications in rescue, inspection, and gardening.