ZANG LAB

Computational Neuroscience & NeuroAI Laboratory

Yunliangzang at tju.edu.cn

The Computational Neuroscience & NeuroAI Laboratory is based in the Academy of Medical Engineering and Translational Medicine at Tianjin University. We use computational tools to explore questions related to learning and memory in the brain, especially in cerebellum-like circuits, and to develop new AI methods inspired by theoretical insights. The lab is headed by Prof. Yunliang Zang.

In the brain, a neural circuit can integrate information from multiple regions and perform different computational tasks. First, we know little about the neural principles underlying the multifunctionality of brain regions. Second, a circuit is composed of neurons that exhibit cell-to-cell variability, but the effect of this variability on the reliability of information propagation remains less understood. Therefore, from a computational neuroscience perspective, we are interested in unveiling the algorithms a circuit uses to support diverse functions and how the neural circuit exhibits reliable performance despite variable cellular properties.

On the NeuroAI side, we are interested in applying neural theories regarding nonlinear neuronal dynamics, multiscale plasticity, and structural motifs embedded in the brain to various AI tasks. Currently, we are particularly focused on alleviating catastrophic forgetting during continual learning and enhancing robustness against adversarial attacks.