Xinyu Zhao
Email:
zhaoxinyu@mail.tsinghua.edu.cn
Research Interests
How does the brain learn? With a combination of experimental and computational approaches in mice, we primarily focus on two questions:
1. What is the algorithm that updates connection weights between neurons during learning? (Synaptic plasticity)
2. How does a neural network transfer its previously learned knowledge to new tasks? (Mechanisms underlying meta-learning)
We believe that our interdisciplinary research will not only advance our understanding of the brain but also inspire the development of new artificial intelligence systems.
Representative Publications
Zhao X*, Hsu CL* and Spruston N. Rapid synaptic plasticity contributes to a learned conjunctive code of position and choice-related information in the hippocampus. Neuron. 2022. 110(1):96-108
Sun W*, Zhao X* and Spruston N. Bursting potentiates the neuro–AI connection. Nature Neuroscience. 2021. 24:905-906
Zhao X, Wang Y, Spruston N & Magee J. Membrane potential dynamics underlying context-dependent sensory responses in the hippocampus. Nature Neuroscience. 2020. 23(5):881-891
Zhao X*, Liu M* and Cang J. Visual Cortex Modulates the Magnitude but Not the Selectivity of Looming-Evoked Responses in the Superior Colliculus of Awake Mice. Neuron. 2014. 84(1):202-213
Zhao X, Chen H, Liu X and Cang J. Orientation-selective Responses in the Mouse Lateral Geniculate Nucleus. Journal of Neuroscience. 2013. 33(31):12751-63
Zhao X, Liu M and Cang J. Sublinear binocular integration preserves orientation selectivity in mouse visual cortex. Nature Communication. 2013. 4:2088.
(* equal contribution)