The laboratory primarily studies the neural mechanisms underlying cognitive processes, such as perception (particularly vision), decision-making, as well as learning and memory. Using mice as the main model organism, the lab combines large-scale calcium imaging (up to 50,000 neurons), optogenetics, machine learning (AI), and virtual reality technologies to explore the neural mechanisms underlying cognition.
Lab AlumniLin Zhong*, Scott Baptista, Rachel Gattoni, Jon Arnold, Daniel Flickinger, Carsen Stringer, Marius Pachitariu*. Unsupervised pretraining in biological neural networks. Nature, 2025 (*Corresponding author).
Yuan Zhang, Yanhe Liu, Yachuang Hu, Zhenkun Zhang, Jie Du, Lele Cui, Qi Liu, Lin Zhong, Yu Xin, Ruiming Chai, Li Deng, Jingwei Pan, Jackie Schiller, Ning-long Xu. Dendritic computation for rule-based flexible categorization. bioRxiv, 2025.
Marius Pachitariu, Lin Zhong, Alexa Gracias, Amanda Minisi, Crystall Lopez, Carsen Stringer. A critical initialization for biological neural networks. bioRxiv, 2025.
Carsen Stringer, Lin Zhong, Atika Syeda, Fengtong Du, Maria Kesa, Marius Pachitariu. Rastermap: a discovery method for neural population recordings. Nature Neuroscience, 2024.
Judith Hoeller, Lin Zhong, Marius Pachitariu, Sandro Romani. Bridging tuning and invariance with equivariant neuronal representations. bioRxiv, 2024.
Atika Syeda, Lin Zhong, Renee Tung, Will Long, Marius Pachitariu, Carsen Stringer. Facemap: a framework for modeling neural activity based on orofacial tracking. Nature Neuroscience, 2024.
Yu Xin, Lin Zhong, Yuan Zhang, Taotao Zhou, Jingwei Pan, Ning-long Xu. Sensory-to-category transformation via dynamic reorganization of ensemble structures in mouse auditory cortex. Neuron, 2019.
Lin Zhong, Yuan Zhang, Chunyu A Duan, Ji Deng, Jingwei Pan, Ning-long Xu. Causal contributions of parietal cortex to perceptual decision-making during stimulus categorization. Nature neuroscience, 2019.
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