研究方向

物体识别 深度网络 脑成像 电生理

本实验室致力于高级视觉功能认知的神经机制探索，采用电生理，脑功能成像，微电刺激以及心理物理的方法等多种研究手段对于人和非人灵长类的视觉系统进行多层面的研究，并结合深度学习网络等多种手段去构建视知觉的数学模型。

代表性论文

1. Bao, P., She, L., McGill, M. & Tsao, D.Y. A map of object space in primate inferotemporal cortex. Nature (2020). https://doi.org/10.1038/s41586-020-2350-5

2.Bao, P., & Tsao, D. Y. (2018). Representation of multiple objects in macaque category-selective areas. Nature communications, 9(1), 1774.

3. Chang, L., Bao, P., & Tsao, D. Y. (2017). The representation of colored objects in macaque color patches. Nature communications, 8(1), 2064.

4. Olman, C. A., Bao, P., Engel, S. A., Grant, A. N., Purington, C., Qiu, C., ... & Tjan, B. S. (2016). Hemifield columns co-opt ocular dominance column structure in human achiasma. NeuroImage.

5. Bao, P., Purington, C. J., & Tjan , B. S. (2015). Using an achiasmic human visual system to quantify the relationship between the fMRI BOLD signal and neural response. eLife, e09600. http://doi.org/10.7554/ eLife.09600

6. Kwon, M*., Bao, P*., Millin, R., & Tjan, B. S. (2014). Radial-tangential anisotropy of crowding in the early visual areas. Journal of Neurophysiology, 112(10), 2413-2422.