龙志颖
基本信息
职称：副教授（硕士生导师、博士生导师）
研究领域：神经影像数据的信息挖掘与建模
电子邮件：zlong@bnu.edu.cn
个人简介
研究概况：基于各种神经影像技术，运用人工智能和计算机科学的基本理论、方法和技术手段，开展神经影像数据的分析、信息挖掘以及类脑计算模型等方面的方法学研究。与认知问题相结合，开展人脑的认知加工动态网络连接模型以及视觉信息加工的神经编解码模型研究。
教育背景
09/2002- 07/2005 北京师范大学心理学院 基础心理学专业 博士
09/2000- 09/2002 北京师范大学信息学院 通信与信息处理专业 硕士
09/1994-07/1998 北京师范大学电子系 电子学专业 学士
工作经历
08/2022-现在：人工智能学院，副教授。
09/2007-07/2022：北京师范大学心理学部认神经科学与学习国家重点实验室，副教授。
8/2005-8/2007：Center for Human Development, University of California, San Diego，博士后。
9/1998-5/2000：天津工业大学高教研究室，助研。
主持和参加的科研项目
1.静息态fMRI多层时间网络的动态和控制特性研究及在老化中的应用（62071050）,国家自然科学基金面上项目，2021.1-2024.12
2.基于功能磁共振成像的三维运动编解码计算模型（61671067）国家自然科学基金面上项目，2017.1-2020.12
3.基于实时功能磁共振成像的脑状态解码研究(61271111) 国家自然科学基金面上项目，2013.1-2016.12
4.独立成分分析法在功能磁共振成像数据分析中的若干问题(60805040), 国家自然科学基金青年基金，2009.1-2011.12
主要学术成果
1. Long Z*., Liu X., Niu Y., Shang H., Lu H., Zhang J., Yao L., Improved Dynamic Functional Connectivity Estimation with an alternating Hidden Markov Model, Cognitive Neurodynamics 17, pages1381–1398 (2023).https://doi.org/10.1007/s11571-022-09874-3
2. Long, Z*.; Liu, L.; Yuan, X.; Zheng, Y.; Niu, Y.; Yao, L. Assessment of 3D Visual Discomfort Based on Dynamic Functional Connectivity Analysis with HMM in EEG. Brain Sci. 2022, 12, 937. https://doi.org/ 10.3390/brainsci12070937
3. Zheng, H., Yao, L. & Long, Z*. Reconstruction of 3D Images from Human Activity by a Compound Reconstruction Model. Cogn Comput (2022).https://doi.org/10.1007/s12559-022-09992-4
4. Xu Y, Shang H, Lu H, Zhang J, Yao L and Long Z* (2021) Altered Dynamic Functional Connectivity in Subcortical Ischemic Vascular Disease With Cognitive Impairment. Front. Aging Neurosci. 13:758137. doi: 10.3389/fnagi.2021.758137
5. Long Z, Guo Z, Guo Z, Zhang H, and Yao L. "Dynamic Functional Network Connectivity Changes Associated with fMRI Neurofeedback of Right Premotor Cortex" 2021. Brain Sciences 11, no. 5: 582
6. Zheng H, Yao L, Chen M, Long Z*, 3D Contrast Image Reconstruction From Human Brain Activity, IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING. 2020. VOL. 28, NO. 12, 2699-2710
7. Li Y, Hou C, Yao L, Zhang C, Zheng H, Zhang J, Long Z*. Disparity level identification using the voxel-wise Gabor model of fMRI data. Hum Brain Mapp. 2019 Jun 15;40(9):2596-2610. doi: 10.1002/hbm.24547.
8. Long Z*, Liu L, Gao Z, Chen M, Yao L. A semi-blind online dictionary learning approach for fMRI data. J Neurosci Methods. 2019 Jul 15;323:1-12.
9. Long Z, Wang Y, Liu X, Yao L*. Two-step paretial least square regression classifiers in brain-state decoding using functional magnetic resonance imaging. PLoS One. 2019 Apr 10;14(4):e0214937. doi: 10.1371/journal.pone.0214937.
10. Long Z., Wang Z., Zhang J., Zhao X., Yao L*., BMC Medical Imaging (2019) Temporally constrained ICA with threshold and its application to fMRI data vol. 19:6 https://doi.org/10.1186/s12880-018-0300-6
11. Zhang, J., Zhang, C., Yao, L., Zhao, X., and Long, Z*.(2018). Brain State Decoding Based on fMRI Using Semisupervised Sparse Representation Classifications. Computational Intelligence and Neuroscience. doi:10.1155/2018/3956536
12. Zhang C, Yao L, Song S, Wen X, Zhao X, Long Z.*(2018) Euler Elastica regularized Logistic Regression for whole-brain decoding of fMRI data, IEEE Trans Biomed Eng., vol. 65, page 1639-1653, PP. 655-673
13. Li, Y., Zhang, C., Hou, C., Yao L*., Zhang J., Long Z*., (2017) BMC Neurosci , Stereoscopic processing of crossed and uncrossed disparities in the human visual cortex, vol. 18: 80. https://doi.org/10.1186/s12868-017-0395-7
14. Wang Y, Zhang J, Zhang G, Yao L, Long Z* (2017), Changes in the brain’s intrinsic organization in the resting state with real-time fMRI neurofeedback training of PCC activity, Journal of Behavioral and Brain Science, Vol.7 No.13, PP. 655-673
15. Ge R, Wang Y, Zhang J, Yao L, Zhang H, Long Z*. Improved FastICA algorithm in fMRI data analysis using the sparsity property of the sources, Journal of Neuroscience Methods, 2016 Apr 1;263:103-14.
16. Zhang CC, Song TS, Wen X, Yao L, Long Z*(Apr 2015), Improved sparse decomposition based on a smoothed L0 norm using a Laplacian kernel to select features from fMRI data. Journal of Neuroscience Methods, 2015, 30(245):15-24
17. Ge RY, Yao L, Zhang H, Long Z*, (Sep 2015) A two-step super-Gaussian independent component analysis approach for fMRI data, Neuroimage, 2015, 118:344-58
18. Xia MG, Song ST, Yao L, Long Z*,(Aug 2015) An empirical comparison of different LDA methods in fMRI-based brain states decoding, Bio-medical Materials and Engineering, 26 (2015) S1185–S1192
19. Ge R, Zhang H, Yao L, Long Z*, Motor Imagery Learning Induced Changes in Functional Connectivity of the Default Mode Network, IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, VOL. 23, NO. 1, (2015) pp: 138-148.
20. Hui M. Zhang H, Ge R, Yao L, Long Z*, Modulation of functional network with real-time fMRI feedback training of right premotor cortex activity, Neuropsychologia, 62 (2014) 111–123
21. Ge R, Fu Y, Wang D, Yao L and Long Z* (2014) Age-related alterations of brain network underlying the retrieval of emotional autobiographical memories: an fMRI study using independent component analysis. Front. Hum. Neurosci. 8:629. doi: 10.3389/fnhum.2014.00629
22. Wang Z, Xia M, Jin Z, Yao L, Long Z* (2014) Temporally and Spatially Constrained ICA of fMRI Data Analysis. PLoS ONE 9(4): e94211. doi:10.1371/journal.pone.0094211
23. Wang Z, Xia M, Jin Z, Yao L, Long Z*, Temporally and Spatially Constrained ICA of fMRI Data Analysis, 2014, PLoS ONE 9(4): e94211.
24. Long Z, Li R, Chen K, Wen X, Jin Z, Yao L*, Separating 4D Multi-task fMRI Data of multiple subjects by Independent Component Analysis with Projection, Magnetic Resonance Imaging, 2013, Vol. 31(1), Pages 60–74.
25. Long Z, Li R, Hui M, Jin Z, Yao L*, An Improvement of Independent Component Analysis with Projection Method Applied to Multi-task fMRI Data, Computers in Biology and Medicine, 2013, Vol. 43(3):200-10 .
26. Zhang G, Zhang H, Li X, Zhao X, Yao L, Long Z*, Functional Alteration of the DMN by Learned Regulation of the PCC Using Real-Time fMRI, IEEE transactions on neural systems and rehabilitation engineering , 2013, vol. 21, 595－606.
27. Ma, X, Zhang H, Zhao X, Yao L, Long Z*, Semi-Blind Independent Component Analysis of fMRI Based on Real-Time fMRI System, IEEE transactions on neural systems and rehabilitation engineering, 2013, vol. 21, 416－426.
28. Hui M, Li R, Chen K, Jin Z, Yao L, Long Z* (2013) Improved Estimation of the Number of Independent Components for Functional Magnetic Resonance Data by a Whitening Filter, IEEE Journal of Biomedical and Health Informatics, vol. 17, 629－641.* 通信作者
