研究方向:
知觉学习指通过训练来改善人的视觉和其它感觉能力的过程，这一过程也在系统水平上反映了大脑的可塑性。我们视觉实验室在许多年里主要结合心理物理学方法和脑成像技术，通过一些创新性的实验范式来研究知觉学习的脑机制，并将这些实验范式应用到眼科疾病的视觉康复以及和工程有关的感觉训练。最近我们还和生命科学中心唐世明教授合作，运用双光子成像技术研究清醒猴早期视觉脑区的神经反应特性。
代表性科研论文:
1. Ju, N.S., Guan, S.C., Tang, S.M., & Yu, C (2019). Cellular precision of orientation and spatial frequency maps in macaque V1. http://biorxiv.org/cgi/content/short/631416v1
2. Xiong, Y.Z., Tan, Q.L., Zhang, Y.X., & Yu, C. (2019). Complete cross-frequency transfer of tone frequency learning after double training, Journal of Experimental Psychology: General, in press.
3. Xiong, Y. Z., Zhang, J.Y., & Yu, C. (2016). Bottom-up and top-down influences at untrained conditions determine perceptual learning specificity and transfer. eLife, 5:14614, 1-17.
4. Wang, R., Wang, J., Zhang, J. Y., Xie, X. Y., Yang, Y. X., Yu, C., & Li, W. (2016). Perceptual learning at a conceptual level. Journal of Neuroscience, 36, 2238-2246.
5. Zhang, J.Y., Zhang, G.L., Xiao, L.Q., Klein, S.A., Levi, D.M. & Yu, C. (2010). Rule-based learning explains visual perceptual learning and its specificity and transfer. Journal of Neuroscience, 30, 12323-12328.
6. Xiao, L.Q., Zhang, J.Y., Wang, R., Klein, S.A., Levi, D.M. & Yu, C. (2008). Complete transfer of perceptual learning across retinal locations enabled by double training. Current Biology, 18, 1922-1926.
7. Zhang, J.Y., Kuai, S.G., Xiao, L.Q., Klein, S.A., Levi, D.M. & Yu, C. (2008). Stimulus coding rules for perceptual learning. PLoS Biology, 6, 1651-1660.
8. Kuai, S.G., Zhang, J.Y., Klein, S.A., Levi, D.M. & Yu, C. (2005). The essential role of stimulus temporal patterning in enabling perceptual learning. Nature Neuroscience, 8, 1497-1499.
