Dr. Fang Fang is Professor of Psychology, Dean of the School of Psychological and Cognitive Sciences, Director of the Office of Academic Development, and Executive Associate Director of the IDG/McGovern Institute for Brain Research at Peking University. He obtained a Ph.D. in Cognitive and Biological Psychology at the University of Minnesota in 2006, and was a Postdoctoral Research Associate between 2006 and 2007. His research seeks to understand the neural mechanisms of visual and cognitive processes by combining neuroimaging, brain stimulation, psychophysics, computational modeling, and human genetics. Topics under investigation include visual learning and adaptation, visual attention and awareness, object and face perception, perceptual grouping, contextual modulation. He received the Young Investigaor Award: Basic Science from the International Union of Psychological Science (IUPsyS) in 2016 and was elected as a Fellow of the Association for Psychological Science (APS) in 2018. He currently serves on the editorial board for Current Biology, Experimental Brain Research, and Science China: Life Sciences.
List of Publications (* corresponding author)
Wang H., Mo C.* and Fang F.* (2020) Dissociated deficits in attentional networks in social anxiety and depression. SCIENCE CHINA Life Sciences. (in press)
Zhang Y.#, Zhang Y.#* and Fang F. (2020) Neural mechanisms of feature binding. SCIENCE CHINA Life Sciences. (in press)
Wang Q., Hoi S., Wang Y., Lam C., Fang F. and Yi, L.* (2020) Gaze response to others' gaze following in children with and without autism. Journal of Abnormal Psychology. (in press)
Yu Q.#, Peng Y.#, Kang H., Peng Q., Ouyang M., Slinger M., Hu D., Shou H., Fang F.* and Huang H.* (2020) Differential white matter maturation from birth to 8 years of age. Cerebral Cortex. (# co-first authors) (in press)
Wang Q., Hoi S.P., Wang Y., Song C., Li T., Lam C.M., Fang F. and Yi L.* (2020) Out of mind, out of sight? Investigating abnormal face scanning in autism spectrum disorder using gaze-contingent paradigm. Developmental Science. 23(1), e12856.
Zhu Z.#, Chen B.#, Na R.#, Fang W., Zhang W., Zhou Q., Zhou S., Lei H., Huang A., Chen T., Ni D., Gu Y., Liu J., Rao Y.* and Fang F.* (2019) Heritability of human visual contour integration --- an integrated genomic study. European Journal of Human Genetics. 27(12), 1867-1875. (# co-first authors)
Mo C., Lu J., Wu B., Jia J., Luo H.* and Fang F.* (2019) Competing rhythmic neural representations of orientations during concurrent attention to multiple orientation features. Nature Communications. 10:5264. https://doi.org/10.1038/s41467-019-13282-3
Zhang Y.#*, Zhang Y.#, Cai P., Luo H. and Fang F.* (2019) The causal role of alpha oscillations in feature binding. Proceedings of the National Academy of Sciences of the United States of America. 116(34), 17023-17028. (# co-first authors)
Jia K., Xue X., Lee J., Fang F., Zhang J. and Li S.* (2018) Visual perceptual learning modulates decision network in the human brain: The evidence from psychophysics, modeling, and functional magnetic resonance imaging. Journal of Vision. 18(12):9, 1-19
Chen B.#, Zhu Z.#, Na R.#, Fang W., Zhang W., Zhou Q., Zhou S., Lei H., Huang A., Chen T., Ni D., Gu Y., Liu J., Fang F.* and Rao Y.* (2018) Genomic analyses of visual cognition: perceptual rivalry and top-down control. Journal of Neuroscience. 38(45), 9668-9678. (# co-first authors)
Wang Q., Lu L., Zhang Q., Fang F., Zou X. and Yi L.* (2018) Eye avoidance in young children with autism spectrum disorder is modulated by emotional facial expressions. Journal of Abnormal Psychology. 127(7), 722-732.
Wang Q.#, Hu Y.#, Shi D.#, Zhang Y., Zou X., Li S., Fang F. and Yi L.*(2018) Children with autism spectrum disorder prefer looking at repetitive movements in a preferential looking paradigm. Journal of Autism and Developmental Disorders. 48, 2821-2831.(# co-first authors)
Na R., Bi T., Tjan B.S., Liu Z.* and Fang F.* (2018) Effect of task difficulty on blood-oxygen-level-dependent signal: a functional magnetic resonance imaging study in a motion discrimination task. PLoS ONE. 13(6): e0199440.
Kang H.#, Zhang M.#, Ouyang M., Guo R., Yu Q., Peng Q., Zhang N., Zhang Y., Duan Y., Tang X., Mishra V., Fang F., Li W., Huang H. and Peng Y.* (2018) Brain white matter microstructural alterations in children of type I Gaucher disease characterized with diffusion tensor MR imaging. European Journal of Radiology. 102, 22-29.(# co-first authors)
Amaral L., Ganho-Avila A., Osorio A., Soares M.J., He D., Chen Q., Mahon B.Z., Goncalves O.F., Sampaio A., Fang F., Bi Y. and Almeida J.*(2016) Hemispheric asymmetries in subcortical visual and auditory relay structures in congenital deafness. European Journal of Neuroscience. 44, 2334-2339.
Chen N., Cai P., Zhou T., Thompson B. and Fang F.* (2016) Perceptual learning modifies the functional specializations of visual cortical areas. Proceedings of the National Academy of Sciences of the United States of America. 113(20), 5724-5729.
Chen J., Yu Q., Zhu Z., Peng Y. and Fang F.* (2016) Spatial summation revealed in the earliest visual component C1 and the effect of attention on its linearity. Journal of Neurophysiology. 115(1), 500-509.
Almeida J.*, He D., Chen Q., Mahon B.Z., Zhang F., Gonçalves Ó. F., Fang F. and Bi Y. (2015) Decoding visual location from neural patterns in the auditory cortex of the congenitally deaf. Psychological Science. 26(11), 1771-1782.
Xu J., Liu X., Zhang J., Li Z., Fang F., Wang X. and Niu H.* (2015) FC-NIRS: A functional connectivity analysis tool for near-infrared spectroscopy data. BioMed Research International. Volume 2015, Article ID 248724.
Chen N.#, Bi T.#, Zhou T., Li S., Liu Z.* and Fang F.* (2015) Sharpened cortical tuning and enhanced cortico-cortical communication contribute to the long-term neural mechanisms of visual motion perceptual learning. NeuroImage. 115, 17-29.(# co-first authors)
Vaghefi E.*, Cai P., Fang F., Byblow W., Stinear C. and Thompson B. (2015) MRI guided brain stimulation without the use of a neuro-navigation system. BioMed Research International. Volume 2015, Article ID 647510.
Cai P. #, Chen N. #, Zhou T., Thompson B. and Fang F.* (2014) Global versus local: double dissociation between MT+ and V3A in motion processing revealed using continuous theta burst transcranial magnetic stimulation. Experimental Brain Research. 232(12), 4035-4041.(# co-first authors)
Akin B., Ozdem C., Eroglu S., Keskin D.T., Fang F., Doerschner K., Kersten D. and Boyaci H.* (2014) Attention modulates neuronal correlates of interhemispheric integration and global motion perception. Journal of Vision. 14(12):30, 1-13.
Guo G., Wang Y.*, Jiang T., Yuille A.L., Fang F. and Gao W. (2014) A shape reconstructability measure of object part importance with applications to object detection and localization. International Journal of Computer Vision. 108(3), 241-258.
Bi T.#, Chen J.#, Zhou T., He Y. and Fang F.* (2014) Function and structure of human left fusiform cortex are closely associated with perceptual learning of faces. Current Biology. 24(2), 222-227.(# co-first authors)
Chen C., Zhang X., Wang Y. and Fang F.* (2013) Measuring the attentional effect of the bottom-up saliency map of natural images. In J. Yang, F. Fang, and C. Sun(Eds): IScIDE 2012, Lecture Notes in Computer Science(LNCS) 7751, pp. 539-548, Springer-Verlag Berlin Heidelberg.
Wang W., Chen C., Wang Y.*, Jiang T., Fang F. and Yao Y. (2011) Simulating human saccadic scanpath on natural images. IEEE Computer Vision and Pattern Recognition(CVPR), Colorado Springs, USA, 441-448.
Chen J., Yang H., Wang A. and Fang F.* (2010) Perceptual consequences of face viewpoint adaptation: Face viewpoint aftereffect, changes of differential sensitivity to face view, and their relationship. Journal of Vision. 10(3):12, 1-11.
Cheung S.*#, Fang F.*#, He S. and Legge G.E. (2009) Retinotopically specific reorganization of visual cortex for tactile pattern recognition. Current Biology. 19(7), 596-601.(* co-first and co-corresponding authors).
Jiang Y., Costello P., Fang F., Huang M. and He S.* (2006) A gender and sexual orientation-dependent spatial attentional effect of invisible images. Proceedings of the National Academy of Sciences of the United States of America. 103(45), 17048-17052.
Yuille A.*, Fang F., Schrater P. and Kersten D. (2004) Human and ideal observers for detecting image curves. In S. Thrun, L. Saul & B. Schoelkopf(Eds.), Advances in Neural Information Processing Systems. 16, 1459-1466. MIT Press, Cambridge, Massachusetts.