目标和宗旨

方方教授领导的实验室结合认知科学、信息科学和神经科学的方法、技术和理论，研究视觉认知、脑可塑性和脑机接口。

研究手段

1. 行为学手段，包括心理物理学和眼动技术
2. 多模态脑成像，包括脑电、脑磁图、磁共振成像和近红外成像
3. 神经调控，包括经颅磁刺激、经颅电刺激、颅内电刺激
4. 颅内电生理
5. 计算建模和人工智能
6. 人类遗传学

仪器设备

• 影像导航经颅磁刺激仪（Magstim Rapid2）
  
• 脑成像数据处理软件（BrainVoyager QX和BrainVision Analyzer）
  
• 剑桥视觉研究系统（ViSaGe 和 Bits++）
  
• SMI 500Hz 高速双眼眼动仪 (SMI High-Speed Eyetracker)
  
• Eyelink 1000+ 眼动仪 (Eyelink 1000 Plus Eyetracker)
  
• 高性能隔振光学平台（ST-UT2 Tuned-Damped Upgradable Optical Table）
  
• HMC色觉检查仪（OCULUS Heidelberg Multi-Color）
  
• 辐照度计/光度计（ILT1700 Research Radiometer/Photometer）
  
• 光谱辐射度计（PhotoResearch PR-730 SpectroRadiometer）
  
• 色度计（CRS ColorCal Colorimeter）
  
• 亮度光度计（Minolta Luminance Photometer）
  
• 立体镜（Haploscope）
  
• 头托/额托（UHCOTech HeadSpot）
  
• 近红外脑功能成像仪（Functional Near Infrared Brain Imaging System）
  
• 高精度经颅电刺激仪（High Resolution Transcranial Electrical Stimulation）
  
• 磁共振兼容经颅电刺激仪(MRI Compatible Transcranial Electrical Stimulation)
  
• CRS快门式立体眼镜（CRS FE-1 Shutter Goggles）
  
• NVIDIA快门式立体眼镜（NVIDIA 3D Vision Goggles）
  
• 高性能计算和显示设备
  

科研队伍

现有人员

教师：方方、 王茜、 张惠惠、 杨佳、 郑琛

博士后：陈冠鹏、宋永前、江静媛、于浩、杨鑫跃、林秉儒、张仕佳、马天野

博士生：杨若霖、庄楚、安靖民、张申申、赵志睿、滕文佳、范炜、綦新港

本科生：魏靖弢、徐艺匀

研究助理：李蹊、武星辰

以往人员

代表性论文

1. Xie M.#, Li Z.#, Fan Y.#, Li Y.#, Wan X.#, Yang S., Huang S., Zhao C., Ma N.*, Fang F.* and Zhang X.* (2026) Visual learning through auditory reactivation during wakefulness and sleep. Science Advances. (in press)
   
2. Sun X., Gong X., Luo H., He T.* and Fang F.* (2026) Neural representation of the subjective uncertainty of prediction in the human brain. Communications Biology. (in press)
   
3. Kong Q.#, Zhao Y.#, Fang F.* and Jia J.* (2026) Location-specific and location-invariant neural representations of visual summary statistics. Journal of Neuroscience. (in press)
   
4. Gao Y.#*, Fan J.#, Xu N.#, Zhao L., Deng L., Yang R., Chen L., Jing Z., Huang T., Wang X., Wang J., Teng P., Cai P., Luan G., Du Y.*, Wang Q.* and Fang F.* (2026) Alpha rhythms in the left auditory cortex set the speed limit for speech comprehension. Proceedings of the National Academy of Sciences of the United States of America. (in press)
   
5. Ren X.#, Wang M.#, Qin T.#, Fang F.*, Li A.* and Luo H.* (2026) “Compressive learning” scaffolds higher-order network structure to enhance human knowledge acquisition. Nature Communications. (in press)
   
6. Wang Y.#, Chen J.#, Zhang Z.#, Chen J.#, Sun Y., Huang H., Liu J., Xing R., Liang F., Zhang S., Zhou W.*, Qin S.*, Zhang D.* and Fang F.* (2026) Emotion perception, learning, and computation in the human brain. SCIENCE CHINA Life Sciences. (in press)
   
7. Zhao L.*, Huang X., Lu Y., Mao H., Fang F.* and Lee K. (2026) Physical actions shape moral choices: Environment-directed movements reduce cheating in young children. Journal of Experimental Psychology: General. (in press)
   
8. Jiang Z.#, Liu Z.#, Shi L., Fang F., Tang S. and Zhou Y.* (2026) Single-neuron network topology governs neural computation and learning in primate cortex. Nature Communications. (in press)
   
9. Yang L., Xie X., Zheng W., Fang F.* and Zhang R.* (2026) Neural prediction errors as a unified cue for abstract visual reasoning. IEEE Transactions on Pattern Analysis and Machine Intelligence. 48(2), 1795-1810.
   
10. Liu Z., Jiang Z., Shi L., Fang F., Tang S. and Zhou Y.* (2025) Neural correlates of trial outcome monitoring during long-term learning in primate posterior parietal cortex. Nature Communications. 16:11681.
    
11. Luo M.#, Zhang H.#*, Fang F.* and Luo H.*(2025) Reactivation of previous decisions repulsively biases sensory encoding but attractively biases decision-making. PLoS Biology. 23(4): e3003150. https://doi.org/10.1371/journal.pbio.3003150
    
12. Cheng Y., Sanayei M., Chen X., Jia K., Li S., Fang F., Watanabe T., Thiele A. and Zhang R.* (2025) A neural geometry approach comprehensively explains apparently conflicting models of visual perceptual learning. Nature Human Behaviour. 9, 1023-1040.
    
13. Yang X., Zhao C., Zuo Z., Li A., Luo H.*, He Q.* and Fang F.* (2025) Frequency-dependent photic modulation of wakeful consolidation in visual learning. Nature Communications. 16:11603. https://doi.org/10.1038/s41467-025-66555-5
    
14. Fan Y., Wang M., Fang F., Ding N.* and Luo H.* (2025) 2-D neural geometry underpins hierarchical organization of sequence in human working memory. Nature Human Behaviour. 9, 360-375.
    
15. Gong X., He T., Wang Q., Lu J. and Fang F.* (2025) Time course of orientation ensemble representation in the human brain. Journal of Neuroscience. 45(7), e1688232024.
    
16. He T., Gong X., Wang Q., Zhu X., Liu Y. and Fang F.* (2024) Non-feature-specific elevated responses and feature-specific backward replay in human brain induced by visual sequence exposure. eLife. 13:RP101511. https://doi.org/10.7554/eLife.101511
    
17. Yu K., Guo J., Xu Z., Shi F., Yu X., Fang F.* and Wang Y.* (2024) Processing of fearful faces exhibits characteristics of subcortical functions. Journal of Experimental Psychology: General. 153(5), 1374-1387.
    
18. Luo L.#, Wang X.#, Lu J., Chen G., Luan G., Li W., Wang Q.* and Fang F.* (2024) Local field potentials, spiking activity, and receptive fields in human visual cortex. SCIENCE CHINA Life Sciences. 67(3), 543-554.
    
19. Wang Q. #*, Chen G.#, Wang X.#, Yang R., Luo L., Ding H., Teng P., Wang J., He L., Ren J., Zhao M., Luan G. and Fang F.* (2024) Prestimulation neuronal activity predicts visual awareness of phosphene elicited by intracranial electrical stimulation. Brain Stimulation. 17, 335-338.
    
20. Zhang Y., Bi K., Li J., Wang Y. and Fang F.* (2023) Dyadic visual perceptual learning on orientation discrimination. Current Biology. 33, 2407-2416.
    
21. Liu C., Wang Y.*, Sun X., Wang Y. and Fang F.* (2023) Decoding six basic emotions from brain functional connectivity patterns. SCIENCE CHINA Life Sciences. 66(4), 835-847.
    
22. Wang Y.#, Luo L.#, Chen G., Luan G., Wang X., Wang Q.* and Fang F.* (2023) Rapid processing of invisible fearful faces in the human amygdala. Journal of Neuroscience. 43(8), 1405-1413.
    
23. Yu Q., Ouyang M., Detre J.A., Kang H., Hu D., Hong B., Fang F., Peng Y. and Huang H.* (2023) Infant brain regional cerebral blood flow increases supporting emergence of the default-mode network. eLife. 12:e78397. DOI: https://doi.org/10.7554/eLife.78397
    
24. Luo L., Chen G., Li S., Wang J., Wang Q.* and Fang F.* (2022) Distinct roles of theta and gamma rhythms in inter-areal interaction in human visual cortex revealed by cortico-cortical evoked potentials. Brain Stimulation. 15, 1048-1050.
    
25. He Q., Yang X., Gong B., Bi K. and Fang F.* (2022) Boosting visual perceptual learning by transcranial alternating current stimulation over the visual cortex at alpha frequency. Brain Stimulation. 15, 546-553.
    
26. Yang X.#, He Q.# and Fang F.* (2022) Transcranial direct current stimulation over the visual cortex facilitates awake consolidation of visual perceptual learning. Brain Stimulation. 15(2), 380-382.
    
27. Lu J., Luo L., Wang Q., Fang F.* and Chen N.* (2021) Cue-triggered activity replay in human early visual cortex. SCIENCE CHINA Life Sciences. 64(1), 144-151.
    
28. Wang H., Mo C.* and Fang F.* (2020) Dissociated deficits in attentional networks in social anxiety and depression. SCIENCE CHINA Life Sciences. 63(7), 1071-1078.
    
29. 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
    
30. 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.
    
31. He D., Wang Y. and Fang F.* (2019) The critical role of V2 population receptive fields in visual orientation crowding. Current Biology. 29(13), 2229-2236.
    
32. Mo C.*#, He D.# and Fang F.* (2018) Attention priority map of face images in human early visual cortex. Journal of Neuroscience. 38(1), 149-157.
    
33. Jia J., Liu L., Fang F. and Luo H.* (2017) Rhythmic sampling of visual objects during sustained attention. PLoS Biology. 15(6): e2001903.
    
34. Yu Q., Zhang P., Qiu J. and Fang F.* (2016) Perceptual learning of contrast detection in the human lateral geniculate nucleus. Current Biology. 26(23), 3176-3182.
    
35. 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.
    
36. Chen J., He Y., Zhu Z., Zhou T., Peng Y., Zhang X. and Fang F.* (2014) Attention-dependent early cortical suppression contributes to crowding. Journal of Neuroscience. 34(32), 10465-10474.
    
37. Zhang X., Qiu J., Zhang Y., Han S. and Fang F.* (2014) Misbinding of color and motion in human visual cortex. Current Biology. 24(12), 1354-1360.
    
38. 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.
    
39. 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.
    
40. He D., Kersten D. and Fang F.* (2012) Opposite modulation of high- and low-level visual aftereffects by perceptual grouping. Current Biology. 22(11), 1040-1045.
    
41. Zhang X., Zhaoping L., Zhou T. and Fang F.* (2012) Neural activities in V1 create a bottom-up saliency map. Neuron. 73(1), 183-192.
    
42. Chen J., Zhou T., Yang H. and Fang F.* (2010) Cortical dynamics underlying face completion in human visual system. Journal of Neuroscience. 30(49), 16692-16698.
    
43. 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.
    
44. Fang F.*, Boyaci H. and Kersten D. (2009) Border ownership selectivity in human early visual cortex and its modulation by attention. Journal of Neuroscience. 29(2), 460-465.
    
45. Fang F., Boyaci H., Kersten D. and Murray S.O.* (2008) Attention-dependent representation of a size illusion in human V1. Current Biology. 18(21), 1707-1712.
    
46. Boyaci H.*, Fang F., Murray S.O. and Kersten D. (2007) Responses to lightness variations in early human visual cortex. Current Biology. 17(11), 989-993.
    
47. 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.
    
48. Fang F. and He S.* (2005) Cortical responses to invisible objects in human dorsal and ventral pathways. Nature Neuroscience. 8(10), 1380-1385.
    
49. Fang F. and He S.* (2005) Viewer-centered object representation in the human visual system revealed by viewpoint aftereffects. Neuron. 45(5), 793-800.
    
50. Fang F. and He S.* (2004) Stabilized structure-from-motion without disparity induces disparity adaptation. Current Biology. 14(3), 247-251.