研究领域
我们的研究主要关注两个方向：（1）知觉学习与决策的神经机制，考察学习对视觉皮层与高级皮层的可塑性调节，探索学习与决策过程的交互影响；（2）奖赏学习对知觉，注意，记忆，情绪，执行控制等认知过程的调节机制，以及由此产生的行为影响。我们的研究手段包括行为测量，眼动追踪，多种脑成像手段（fMRI，EEG，TMS），以及计算模型。
近期论文
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1. Li, T., Wang, X., Pan,J., Feng, S., Gong, M., Wu, Y., Li, G., Li, S.*, & Yi, L.* (2017) Reward learning modulates the attentional processing of faces in children with and without autism spectrum disorder. Autism Research (in press) (*co-corresponding authors)
2. Gong, M.*, Jia, K.*, & Li, S. (2017). Perceptual competition promotes suppression of reward salience in behavioral selection and neural representation. Journal of Neuroscience (in press) (*co-first authors)
3. Jia, K., & Li, S. (2017). Motion direction discrimination training reduces perceived motion repulsion. Attention, Perception, & Psychophysics, 79:878–887.
4. Gong, M., Yang, F., & Li, S. (2016). Reward association facilitates distractor suppression in human visual search. European Journal of Neuroscience, 43:942-953.
5. Li, Y., & Li, S. (2015). Contour integration, attentional cuing, and conscious awareness: An investigation on the processing of collinear and orthogonal contours. Journal of Vision, 15(16):10, 1–16.
6. Xue, X., Zhou, X., & Li, S. (2015). Unconscious reward facilitates motion perceptual learning. Visual Cognition, 23(1-2), 161-178.
7. Yang, F., Wu, Q., & Li, S. (2014). Learning-induced uncertainty reduction in perceptual decisions is task-dependent. Frontiers in Human Neuroscience, 8, 282.
8. Gong, M., & Li, S. (2014). Learned reward association improves visual working memory. Journal of Experimental Psychology: Human Perception and Performance, 40(2): 841-856.
9. Mu, T., & Li, S. (2013). The neural signature of spatial frequency-based information integration in scene perception. Experimental Brain Research, 227(3), 367-377.
10. Li, S., & Yang, F. (2012). Task‐dependent uncertainty modulation of perceptual decisions in the human brain. European Journal of Neuroscience, 36(12), 3732-3739.
11. Li, S.*, Mayhew, S. D.*, & Kourtzi, Z. (2012). Learning shapes spatiotemporal brain patterns for flexible categorical decisions. Cerebral Cortex, 22(10), 2322-2335.(*co-first authors)
12. Mayhew, S. D.*, Li, S.*, & Kourtzi, Z. (2012). Learning acts on distinct processes for visual form perception in the human brain. Journal of Neuroscience, 32(3), 775-786.(†co-first authors)
13. Chen, D.*, Li, S.*, Kourtzi, Z., & Wu, S. (2010). Behavior-constrained support vector machines for fMRI data analysis. IEEE Transactions on Neural Networks, 21(10), 1680-1685.(*co-first authors)
14. Li, S., Mayhew, S. D., & Kourtzi, Z. (2009). Learning shapes the representation of behavioral choice in the human brain. Neuron, 62(3), 441-452.
15. Li, S., Ostwald, D., Giese, M., & Kourtzi, Z. (2007). Flexible coding for categorical decisions in the human brain. Journal of Neuroscience, 27(45), 12321-12330.
16. Li, S., & Wu, S. (2007). Robustness of neural codes and its implication on natural image processing. Cognitive Neurodynamics, 1(3), 261-272.
17. Li, S., & Wu, S. (2005). On the variability of cortical neural responses: a statistical interpretation. Neurocomputing, 65, 409-414.
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