Zhong-Lin Lu

Zhong-Lin Lu
Professor of Neuroscience, NYU Shanghai; Global Network Professor, Center for Neural Science, Faculty of Arts and Science, NYU
Email
zhonglin@nyu.edu
Room
S708
Zhong-Lin Lu is a Professor of Neuroscience at NYU Shanghai and a Global Network Professor of Neural Science and Psychology at NYU. He earned his B.S. in Theoretical Physics from the University of Science and Technology of China (1989) and Ph.D. in Physics from NYU (1992). After a postdoctoral fellowship at UC Irvine, he joined USC as an Assistant Professor (1996), later becoming Professor and William M. Keck Chair in Cognitive Neuroscience. He served as Scientific Director of the Dana and David Dornsife Cognitive Neuroscience Imaging Center. At The Ohio State University (2011–2019), he was a Distinguished Professor and Director of the Center for Cognitive and Brain Sciences. He joined NYU Shanghai in 2019. Lu is a fellow of the Society for Experimental Psychologist and Association of Psychological Science.
 

Select Publications

  • Lu, Z.-L., Williamson, S. J. & Kaufman, L. (1992) Behavioral lifetime of human sensory memory predicted by physiological measures. Science, 258: 1668-1670.
  • Lu, Z.-L. & Sperling, G. (1995) Attention-generated apparent motion. Nature, 379: 237-239.
  • Lu, Z.-L. & Dosher, B. A. (2008) Characterizing observer states using external noise and observer models: Assessing internal representations with external noise. Psychological Review, 115 (1), 44-82.
  • Lu, Z.-L. & Dosher, B., (2013) Visual Psychophysics: From Laboratory to Theory. The MIT Press. (464 pages)
  • Lu, Z.-L. & Dosher, B. A. (2022) Current directions in visual perceptual learning, Nature Review Psychology, 1, 654–668.

 

Education

  • PhD, Physics
    New York University
  • MS, Physics
    New York University
  • BS, Theoretical Physics
    University of Science and Technology of China
Research Interests

Lu’s research focuses on computational models of perception and cognition, with applications in clinical settings. Using psychophysical experiments, physiological studies, and computational modeling, he explores: (1) visual and auditory perception, attention, and perceptual learning; (2) vision testing for optometry and ophthalmology; (3) second language acquisition, memory, and decision-making; (4) visual deficits in myopia, dyslexia, amblyopia, and Alzheimer’s disease; and (5) brain imaging and data analytics.