Zhong-Lin Lu is currently Distinguished Professor of Social and Behavioral Science, Professor of Psychology and Optometry, Director of Center for Cognitive and Brain Sciences and Center for Cognitive and Behavioral Brain Imaging, at Ohio State University in Columbus, Ohio.

The goal of Zhong-Lin’s 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. Psychophysical experimentation, physiological investigation, clinical testing, and computational modeling are all essential ingredients and tools in his research.

Zhong-Lin Lu obtained a B.S. in theoretical physics from the University of Science and Technology of China in 1989 and a Ph.D. under Samuel J. Williamson in physics at New York University (1989–1992). This was followed by a four-year post-doc in Cognitive Science with George Sperling at University of California, Irvine. He joined the University of Southern California as an Assistant Professor in 1996, and was appointed Professor of Psychology and Biomedical Engineering in 2004 and William M. Keck Chair in Cognitive Neuroscience in 2006. He was also a co-founder and the co-Director of Dana Dornsife Cognitive Neuroscience Imaging Center at USC. In 2011, he joined the Ohio State University as Distinguished Professor of Social and Behavioral Science, Professor of Psychology, and Director of Center for Cognitive and Behavioral Brain Imaging. He was appointed Director of Center for Cognitive and Brain Sciences in 2012. Lu is a fellow of the Society of Experimental Psychologists and the Association for Psychological Science.

Since 1991, Zhong-Lin has published one book, four edited books and five special issues, more than 200 articles, and more than 200 abstracts. He has also given about 150 invited talks and presented or co-authored more than 200 conference presentations. He is a co-inventor on one amblyopia screening, two amblyopia treatment, three adaptive visual testing, and five MRI patents.

Lesmes, L. A., Jeon, S., Lu, Z.-L. & Dosher, B. (2006)
Bayesian adaptive estimation of threshold vs. contrast external noise functions,
Vision Research, 46, 3160-3176.
Lu, Z.-L. & Eskew, R. (Eds.) (2007)
Special Issue on Signal Detection Theory,
Spatial Vision 20 (1), 1-175.
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.
Huang, C. B., Lu, Z.-L., & Zhou, Y. F. (2008)
Broad bandwidth of perceptual learning in the visual system of adults with anisometropic amblyopia.
Proceedings of the National Academy of Sciences, USA, 105 (10), 4068-4073.
Lesmes, L. A., Lu, Z.-L., Baek, J. & Albright, T. (2010)
Bayesian Adaptive Estimation of the Contrast Sensitivity Function: the qCSF method.
Journal of Vision, 10(3):17, 1–21.
Hou, F., Huang, C.-B., Lesmes, L. A., Zhou, Y. & Lu, Z.-L. (2010)
qCSF in clinical application: efficient characterization and classification of contrast sensitivity functions in amblyopia.
Investigative Ophthalmology and Visual Science, 51(10), 5365-5377.
Huang, C.-B., Zhou, J., Zhou, Y. & Lu, Z.-L. (2011)
Deficient Binocular Combination Reveals Mechanisms of Anisometropic Amblyopia: Signal Attenuation and Interocular Inhibition.
Journal of Vision, 11 (6): 4, 1-17.
Chung, S. & Lu, Z.-L. (Eds.) (2012)
Special Issue on Clinical Vision,
Seeing and Perceiving, 25 (5), 397-520.
Dorr, M., Lesmes, L., Lu, Z.-L. & Bex, P. J. (2013)
Rapid and precise contrast sensitivity assessment on a tablet device.
Investigative Ophthalmology and Visual Science, 54:7266-7273.
Lu, Z.-L. & Dosher, B. (2013)
Visual Psychophysics: From Laboratory to Theory,
The MIT Press. (464 pages)
Lee, T.-H., Baek, J., Lu, Z.-L., Mather, M. (2014)
How arousal modulates the visual contrast sensitivity function.
Emotion, 14(5): 978-984.
Kim, W., Pitt, M., Lu, Z.-L., Steyvers, M. & Myung J. I. (2014)
Hierarchical Adaptive Approach to Optimal Experimental Design.
Neural Computation, 26 (11): 2465-2492.
Lesmes, L. A., Lu, Z.-L., Baek, J., Tran, N., Dosher, B. & Albright, T. (2015)
An adaptive method for estimating d’ and false alarm rate in the Yes/No task.
Frontiers in Psychology, 6:1070. doi: 10.3389/fpsyg.2015.01070 (26 pages).
Hou, F., Lesmes, L. A., Bex, P., Dorr, M. & Lu, Z.-L. (2015)
Using 10AFC to further improve the efficiency of the quick CSF.
Journal of Vision, 15, 2. doi:10.1167/15.9.2 (18 pages).
Jia, W., Zhou, J., Lu, Z.-L., Lesmes, L. A., Huang, C.-B. (2015)
Discriminating anisometropic amblyopia from myopia based on interocular inhibition.
Vision Research, Special Issue on Amblyopia, 114: 135-141.
Baek, J., Lesmes, L. A. & Lu, Z.-L., (in revision)
qPR: An adaptive partial report procedure based on Bayesian Inference.
Journal of Vision.
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. & Sperling, G. (1995)
The functional architecture of human visual motion perception.
Vision Research, 35: 2697-2722.
Suppes, P., Lu, Z.-L. & Han, B. (1997)
Brain-wave recognition of words.
Proceedings of National Academy of Science, USA, 94, 14965-14969.
Lu, Z.-L. & Dosher, B. (1998)
External noise distinguishes mechanisms of attention.
Vision Research, 38, 1183-1198.
Dosher, B. & Lu, Z.-L. (1998)
Perceptual learning reflects external noise filtering and internal noise reduction through channel selection.
Proceedings of National Academy, USA, 95, 13988-13993.
Suppes, P, Han, B. & Lu, Z.-L. (1998)
Brain-wave recognition of short sentences.
Proceedings of National Academy of Science, USA, 95, 15861-15866.
Lu, Z.-L. & Dosher, B. (1999)
Characterizing human perceptual inefficiencies with equivalent internal noise.
Journal of Optical Society of America, A, 16 [Feature Issue: Noise in Imaging Systems and Human Vision], 764-778.
Lu, Z.-L., Lesmes, L. & Sperling, G. (1999)
Mechanisms of isoluminant chromatic motion perception.
Proceedings of National Academy of Science, USA, 96, 8289-8294
Dosher, B. & Lu, Z.-L. (1999)
Mechanisms of perceptual learning.
Vision Research, 39, 3197-3221
Blaser, E., Sperling, G. & Lu, Z.-L. (1999)
Measuring the amplification and the spatial resolution of visual attention.
Proceedings of National Academy of Science, USA, 96, 11681-11686.
Suppes, P, Han, B., Epelboim, J. & Lu, Z.-L. (1999)
Invariance between subjects of brain-wave representations of language.
Proceedings of National Academy of Science, USA, 96, 12953-12958.
Suppes, P, Han, B., Epelboim, J. & Lu, Z.-L. (1999)
Invariance of brain-wave representations of simple visual images and their names.
Proceedings of National Academy of Science, USA, 96, 14658-14663.
Lu, Z.-L., Lesmes, L. & Sperling, G. (1999)
Perceptual motion standstill from rapidly moving chromatic displays.
Proceedings of National Academy of Science, USA, 96, 15374-15379.
Dosher, B. & Lu, Z.-L. (2000)
Noise exclusion in spatial attention.
Psychological Science, 11, 139-146.
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.
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.
Dosher, B. & Lu, Z.-L. (2005)
Perceptual learning in clear not noisy displays optimizes performance: Asymmetry of transfer,
Proceedings of the National Academy of Science, USA, 102, 5286-5290.
Lu, Z.-L., Chu, W., Dosher, B. & Lee, S. (2005)
Independent Perceptual Learning in Monocular and Binocular Motion Systems,
Proceedings of the National Academy of Science, USA, 102, 5624-5629.
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.
Petrov, A., Dosher, B. & Lu, Z.-L. (2005)
Perceptual learning through incremental channel reweighting.
Psychological Review, 112 (4), 715-743.
Zhou, Y., Huang, C., Xu, P., Tao, L., Qiu, Z., Li, X. & Lu, Z.-L. (2006)
Perceptual learning improves contrast sensitivity and visual acuity in adults with amplyopia,
Vision Research, 46, 739-750.
Tseng, C., Gobell, J. L., Lu, Z.-L. & Sperling, G. (2006)
When motion appears stopped: phenomenon and theory of stereo motion standstill,
Proceedings of the National Academy of Sciences, USA, 103, 14953-14958.
Sperling, A., Lu, Z.-L., Manis, F. R. & Seidenberg, M. S. (2006)
Motion perception deficits and reading impairment: it’s the noise, not the motion,
Psychological Science, 17, 1047-1053.
D’Argembeau, A., Xue, G., Lu, Z.-L., Van der Linden, M. & Bechara, A. (2008)
Distinct neural systems for envisioning emotional events in the near and far future,
NeuroImage, 40 (1), 398-407.
Li, X. R., Lu, Z.-L., Tjan, B., Dosher, B. A. & Chu, W. (2008)
Blood oxygenation level-dependent contrast response functions identify mechanisms of covert attention in early visual areas,
Proceedings of the National Academy of Sciences, USA, 105 (16), 6202-6207.
Xue, G., Lu, Z.-L. Levine, I. P., Weller, J. A., Li, X. R. & Bechara, A. (2009)
Functional Dissociations of Risk and Reward Processing in the Medial Prefrontal Cortex,
Cerebral Cortex, 19, 1019-1027.
James, G. A., Lu, Z.-L., Van Meter, J., Sathian, K, Hu, X. P. , & Butler, A. J. (2009)
Changes in resting-state effective connectivity in the motor network following rehabilitation of upper-extremity post-stroke paresis.
Topics in Stroke Rehabilitation, 16 (4), 270-281.
D’Acremont, M., Lu, Z.-L., Li, X. & Bechara, A. (2009)
Risk prediction in the human brain: A functional neuroimaging study.
NeuroImage, 47(4):1929-1939.
Xue, G., Lu, Z.-L. Levine, I. P., Weller, J. A., Li, X. R. & Bechara, A. (2009)
Functional Dissociations of Risk and Reward Processing in the Medial Prefrontal Cortex,
Cerebral Cortex, 19, 1019-1027.
Xue, G., Lu, Z.-L., Levin, I. P. & Bechara, A. (2010)
The impact of prior risk experiences on subsequent risky decision-making: The role of Insula,
NeuroImage, 50, 709-716.
Li, X., Lu, Z.-L., D’Argembeau, A., Ng, M. & Bechara, A. (2010)
The Iowa gambling task in fMRI images,
Human Brain Mapping, 31, 410-423.
Hua, T., Bao, P., Huang, C. B., Wang, Z., Xu, J., Zhou, Y. & Lu, Z.-L. (2010)
Perceptual Learning Improves Contrast Sensitivity of V1 Neurons in Cats,
Current Biology, 20, 887-894.
Zhu, B., Chen, C., Loftus, E., Lin, C., He., Q., Chen, C., Li, H., Xue, G., Lu, Z.-L., & Dong, Qi (2010)
Individual Differences in False Memories: Cognitive Factors,
Memory, 18: 5, 543 - 555.
Xue, G., Mei, L., Chen, C., Lu, Z.-L., Dong, Q. & Poldrack, R. (2010
Greater neural pattern similarity across repetitions is associated with better memory,
Science, 330(6000):97-101 (DOI: 10.1126/science.1193125)
Xue, G., Lu, Z.-L., Levin, I. P. & Bechara, A. (2010)
An fMRI study of risk-taking following wins and losses: implications for the gambler’s fallacy.
Human Brain Mapping, 32(2):271-281.
Lu, Z.-L., Li, X. R., Tjan, B., Dosher, B. A. & Chu, W (2011).
Attention extracts signal in external noise: A BOLD fMRI study,
Journal of Cognitive Neuroscience, 23 (5): 1148-1159.
Xue, G., Mei, L., Chen, C., Lu, Z.-L., Dong, Q. & Poldrack, R. (2011)
Spaced Learning Enhances Subsequent Recognition Memory by Reducing Neural Repetition Suppression,
Journal of Cognitive Neuroscience, 23(7):1624-33.
Bejjanki, V. R., Beck, J. M., Lu, Z.-L. & Pouget, A. (2011)
Perceptual learning as improved probabilistic inference in early sensory areas,
Nature Neuroscience 14: 642-648.
Xue, G., Juan C.-H., Chang, C.-F., Lu, Z.-L. & Dong, Q. (2012)
Lost in a random world: Prefrontal cortex contributes to the gambler’s fallacy,
Proceedings of the National Academy of Science, USA, 109 (12), 4401-4406.
Xue, G., Dong, Q., Chen, C., Lu, Z.-L., Mumford, J. A. & Poldrack, R. A. (2013)
Complementary role of frontoparietal activity and cortical pattern similarity in successful episodic memory encoding,
Cerebral Cortex, 23:1562–1571.
Dosher, B., Jeter, P., Liu, J. & Lu, Z.-L. (2013)
How does visual perceptual learning transfer? An integrated reweighting theory (IRT) of perceptual learning and transfer,
Proceedings of the National Academy of Science, USA, 110(33): 13678–13683.
Wang, J., He, L. & Lu, Z.-L. (2014)
Optimization of Magnetization-prepared Rapid Gradient-echo (MPRAGE) Sequence,
PLOS ONE, LoS ONE 9(5): e96899. doi:10.1371/journal.pone.0096899, 12 pages.
Bejjanki, V. R., Zhang, R., Li, R., Pouget, A., Green, C. S., Lu, Z.-L. & Bavelier, D. (2014)
Action video game play facilitates the development of better perceptual templates,
Proceedings of the National Academy of Science, USA, 111 (47) :16961-16966.
Kim, W., Pitt, M., Lu, Z.-L., Steyvers, M. & Myung J. I. (2014)
Hierarchical Adaptive Approach to Optimal Experimental Design,
Neural Computation, 26 (11): 2465-2492.
He, Q., Chen, C., Dong, Q., Xue, G., Chen, C., Lu, Z.-L. & Bechara, A. (2015)
Gray and White Matter Structures in the Anterior Cingulate Cortex Region Contribute to Body Mass Index in Chinese Young Adults,
Brain Structure and Function, 220(1), 319-329.
Tlapale, É., Dosher, B., Lu, Z.-L. (2015)
Construction and evaluation of an integrated dynamical model of visual motion perception,
Neural Networks, 67, 110-120.
Cabrera, C., Lu, Z.-L. & Dosher, B. A. (2015)
Separating decision noise and encoding noise in perceptual decision making,
Psychological Review, in press.
Cabrera, C., Lu, Z.-L. & Dosher, B. A. (2015)
Separating decision noise and encoding noise in perceptual decision making.
Psychological Review, 122 (3): 429-460.
2003 Lu, Z.-L. & Kaufman, L. (Eds.)
Magnetic Source Imaging of the Human Brain.
Lawrence Erlbaum Associates, Inc., Mahwah, New Jersey.
2009 Lu, Z.-L., Zhou, Y., He, S. & He, Z. (Eds.)
Vision Science.
University of Science and Technology of China Press, Hefei, Anhui, China, 1-530.
Lu, Z.-L., Yu, C., Watanabe, T., Sagi, D., & Levi, D. (Eds.)
Special Issue on Perceptual Learning (I),
Vision Research, 49 (21), 2531-2634.
2010 Lu, Z.-L., Yu, C., Watanabe, T., Sagi, D., & Levi, D. (Eds.)
Special Issue on Perceptual Learning (II),
Vision Research, 50 (4), 365-485.
2013 Chubb, C. F., Dosher, B., Lu, Z.-L.. & Shiffrin, R. (Eds.)
Human Information Processing: Vision, Memory, Attention,
American Psychological Association: Washington, DC. (264 pages).
Lu, Z.-L. & Luo, Y. (Eds.)
Progress in Cognitive Science: From Cellular Mechanisms to Computational Theories,
Peking University Press, Beijing, China (480 pages).
2014 Kawato, M., Lu, Z.-L., Sagi, D., Sasaki, Y., Yu, C. & Watanabe, T.
Special Issue on Perceptual Learning,
Vision Research, 99 (1), 1-186.