姓　　名：
彭玉佳
職　　稱：
研究員 博導(dǎo)
研究領(lǐng)域：
臨床心理學(xué) 焦慮與抑郁 社會認知 腦成像 人工智能
通信地址：
北京大學(xué)哲學(xué)樓
電子郵件：
[email protected]
個人主頁：
https://www.ypeng.org/
實驗室主頁：
https://www.www.n3z2n.cn/kxyj/kysys/363505.htm

彭玉佳研究員于2014年畢業(yè)于北京大學(xué)心理學(xué)系，獲得學(xué)士學(xué)位。2019年畢業(yè)于加州大學(xué)洛杉磯分校，獲得博士學(xué)位。2019年到2021年，在加州大學(xué)洛杉磯分校Michelle Craske和Hakwan Lau組從事博士后研究。2021年9月入職北京大學(xué)心理與認知科學(xué)學(xué)院。彭玉佳研究員的研究主要關(guān)注焦慮癥與抑郁癥的機制研究，以及社會認知與人工智能研究。研究成果發(fā)表于Biological Psychiatry : Cognitive Neuroscience and Neuroimaging, Psychiatry Research， Psychological Science, Cognition，Vision Research等同行評議的重要學(xué)術(shù)期刊上。

彭玉佳課題組聚焦于臨床心理學(xué)的基礎(chǔ)研究，同時涉及認知神經(jīng)和人工智能的交叉研究。課題組致力于探究焦慮癥和抑郁癥的心理與神經(jīng)機制以及治療方法。實驗方法包含人類心理物理學(xué)實驗、核磁共振成像及腦電、眼動記錄及其他生物信號記錄、計算建模和機器學(xué)習(xí)等。具體研究問題包括但不限于：

（1）針對生物運動識別、社會認知、意圖理解等任務(wù)，臨床病人是否與常人存在行為反應(yīng)、眼動軌跡、生理信號反應(yīng)、及大腦神經(jīng)網(wǎng)絡(luò)活動上的不同；臨床病人群體內(nèi)部是否存在個體差異，以及這些個體差異如何與臨床癥狀相關(guān)聯(lián)。

（2）在縱向追蹤的時間層面上，是否存在神經(jīng)信號、環(huán)境因素、行為信號等，可以預(yù)測焦慮癥狀的發(fā)生和發(fā)展。

（3）基于多維數(shù)據(jù)維度，是否可以依賴個體差異，實現(xiàn)最優(yōu)治療方法的匹配，以及構(gòu)建個性化治療方案。

英文論著

(* Equal contribution, # Corresponding author)

Peng, Y., Han, J., Zhang, Z., Fan, L., Liu, T., Qi, S., ... & Zhu, S. C. (2023). The Tong Test: Evaluating Artificial General Intelligence Through Dynamic Embodied Physical and Social Interactions. Engineering. https://doi.org/10.1016/j.eng.2023.07.006

Peng, Y.#, Wang, Y., & Lu, D., (2023). The mechanism of emotion processing and intention inference in social anxiety disorder based on biological motion. Advances in Psychological Science, 31(6), 905-914. https://doi.org/10.3724/SP.J.1042.2023.00905.

Peng, Y. *, Knotts, J. D. *, Young, K. S., Bookheimer, S. Y., Nusslock, R., Zinbarg, R. E., ... & Craske, M. G.# (2023). Threat neurocircuitry predicts the development of anxiety and depression symptoms in a longitudinal study. Biological psychiatry: cognitive neuroscience and neuroimaging. 8(1): 102-110. https://doi.org/10.1016/j.bpsc.2021.12.013

Peng, Y., Gong, X., Lu, H., & Fang, F. (2023). Mapping between the Human Visual System and Two-stream DCNNs in Action Representation. In Proceedings of the Annual Meeting of the Cognitive Science Society (Vol. 45, No. 45). Austin, TX: Cognitive Science Society.

Jiang, G., Xu, M., Xin, S., Liang, W., Peng, Y., Zhang, C., & Zhu, Y. (2023). MEWL: Few-shot multimodal word learning with referential uncertainty. Proceedings of the 40th International Conference on Machine Learning (PMLR) 202:15144-15169.

Peng, Y.*, Knotts, J.D.*#, Taylor, C.T., Craske, M.G., Stein, M.B., Bookheimer, S., Young, K.S., Simmons, A.N., Yeh, H., Ruiz, J., Paulus, P.M. (2021). Failure to identify robust latent variables of positive or negative valence processing across units of analysis. Biological Psychiatry: Cognitive Neuroscience and Neuroimaging. 6(5), 518-526.

Shu, T.#, Peng, Y., Zhu, S., & Lu, H. (2021). A unified psychological space for human perception of physical and social events. Cognitive Psychology. 128. 101398.

Peng, Y. #, Lu, H., & Johnson, S. P. (2021). Infant perception of causal motion produced by humans and inanimate objects. Infant Behavior and Development, 64, 101615.

Peng, Y. #, Lee, H., Shu, T., & Lu, H. (2020). Exploring biological motion perception in two-stream convolutional neural networks. Vision Research, 178, 28-40.

Chiang J.N. #, Peng, Y., Lu, H., Holyoak, K.J., & Monti, M.M. (2020). Distributed code for semantic relations predicts neural activity during analogical reasoning. Journal of Cognitive Neuroscience, 1-13.

Peng, Y. #, Ichien, N., & Lu, H. (2020). Causal actions enhance perception of continuous body movements. Cognition, 194, 104060,

Ogren, M.#, Kaplan, B., Peng, Y., Johnson, K. L., & Johnson, S. P. (2019). Motion or emotion: Infants discriminate emotional biological motion based on low-level visual information. Infant Behavior and Development, 57, 101324.

Tsang, T., Ogren, M., Peng, Y., Nguyen, B., Johnson, K.L. & Johnson S.P. # (2018). Infant perception of sex differences in biological motion displays. Journal of Experimental Child Psychology, 173, 338–350.

Keane, B. P.*, Peng, Y.*, Demmin, D., Silverstein, S. M., & Lu, L. (2018). Intact perception of coherent motion, dynamic rigid form, and biological motion in chronic schizophrenia. Psychiatry Research, 268, 53-59.

Shu, T.*#, Peng, Y.*, Fan, L., Zhu, S., & Lu, H. (2017). Perception of human interaction based on motion trajectories: from aerial videos to decontextualized animations. Topics in Cognitive Science, 10(1), 225-241.

Peng, Y. #, Thurman, S., & Lu, H. (2017). Causal action: A fundamental constraint on perception and inference about body movements. Psychological Science, 28(6), 798-807.

van Boxtel, J. #, Peng, Y., Su, J., & Lu, H. (2016). Individual differences in high-level biological motion tasks correlate with autistic traits. Vision Research, 141, 136-144.

Chen, J., Yu, Q., Zhu, Z., Peng, Y., & Fang, F.# (2016). Spatial summation revealed in the earliest visual evoked component C1 and the effect of attention on its linearity. Journal of Neurophysiology, 115(1), 500-509.

Chen, J., He, Y., Zhu, Z., Zhou, T., Peng, Y., Zhang, X., & Fang, F.# (2014). Attention-dependent early cortical suppression contributes to crowding. The Journal of Neuroscience, 34(32), 10465-10474.

Lu, J. *, & Peng, Y.*# (2014). Brain-computer interface for cyberpsychology: components, methods, and applications. International Journal of Cyber Behavior, Psychology and Learning (IJCBPL), 4(1), 1-14.