William M. Keck Chair in Cognitive Neuroscience, Professor of Psychology & Biomedical Engineering, co-Director, Dana and David Dornsife Cognitive Neuroscience Imaging Center
- Computational & psychophysical study of visual and auditory perception, attention, and perceptual learning
- Neurophysiological & Neuromagnetic study of sensory and attentional processes
- Visual deficits in dyslexia, amblyopia & Alzheimer's disease
- Brain Imaging
Research OverviewThe goal of my research is to construct computational brain models for perception and cognition -- models sufficiently computational such that they can be represented in a computer program or mathematical theory.
In the recent years, most of my research effort has been concentrated in seven domains: sensory memory, visual motion perception, selective attention, perceptual learning, brain-wave recognition, dyslexia, and amblyopia. In all these domains, formal mathematical analysis and computer modeling combined with psychophysical and neurophysiological experimentation have yielded astonishingly detailed and accurate models of brain processes. To understand how the brain works, I believe we need to build models that are sufficiently computational that the actual computations can be represented in a computer program or mathematical theory. With such models, the search for neurophysiological correlates will be most fruitful.
Psychophysical experimentation, physiological investigation, clinical testing, and computational modeling are all essential ingredients in building brain models. In each of these domains, modern techniques are quite complex. Therefore, collaboration is necessary. I believe I have acquired the essentials to be able to organize such collaborative research.
Currently, I am collaborating with George Sperling (UCI) on perception and human information processing, Charlie Chubb (UCI) on neural networks, and Barbara Dosher (UCI) on perceptual learning and attention. I am also collaborating with Patrick Suppes (Stanford) on brain-wave recognition, and Tom Albright (Salk) on fMRI and single unit recording in behaving primates). At USC, I am engaged in collaborative research with Mike Dawson (attention and pre-pulse inhibition), Steve Madigan (memory and brain imaging), Mark Seidenberg and Frank Manis (dyslexia and motion perception).
- Web Sites:
- Research Group
- Mailing Address:
- University of Southern California
Department of Psychology, SGM 501
Los Angeles, CA 90089-1061
- Office Location:
- SGM 703
- Office Phone:
- (213) 740-2282
- Lab Location:
- SGM 702
- Lab Phone:
- (213) 740-2269
- (213) 746-9082
- B.S., University of Science and Technology of China, 1989.
- M.S., New York University, 1991.
- Ph.D., New York University, 1992.
Lu, Z.-L. & Dosher B. (2008) Characterizing observers using external noise and observer models: assessing internal representations with external noise. Psychological Review, 115(1):44-82. -PubMed
Sperling, A. J., Lu, Z.-L., Manis, F. R. & Seidenberg, M. S. (2005) Deficits in template formation may underlie the etiology of developmental dyslexia, Nature Neuroscience, 7 (8), 862-863. -PubMed
Lu. Z.-L., Neuse, J., Madigan, S., & Dosher, B., (2005) Decay of iconic memory in observers with mild cognitive impairment, Proceedings of the National Academy of Science, USA, 102, 1797-1802. -PubMed
Petrov, A., Dosher, B. & Lu, Z.-L., (2005) Perceptual learning through incremental channel reweighting. Psychological Review, 112 (4), 715-743. -PubMed
Lu, Z.-L. & Sperling, G. (2001) The three systems that compute visual motion: Review and update, Journal of the Optical Society of America, A, 18 [Feature Issue: Second-order Processes in Vision], 2331-2370. -PubMed
Lu, Z.-L. & Dosher, B. (1998) External noise distinguishes mechanisms of attention. Vision Research, 38, 1183-1198. -PubMed
Lu, Z.-L. & Sperling, G., (1995) Attention-generated apparent motion. Nature, 379: 237-239. -PubMed
Lu, Z.-L., Williamson, S. J. & Kaufman, L., (1992) Behavioral lifetime of human sensory memory predicted by physiological measures. Science, 258: 1668-1670. -PubMed