龍志穎(北京師範大學副教授)

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龍志穎，女，博士，北京師範大學副教授。

基本介紹

  • 中文名：龍志穎 
  • 畢業院校：北京師範大學
  • 學位/學歷：博士 
  • 職業：教師
教育背景,工作經歷,研究概述,主持的項目,論文成果,

教育背景

  • 09/2002- 07/2005: 北京師範大學心理學院，基礎心理學專業博士
  • 09/2000- 09/2002：北京師範大學信息學院，通信與信息處理專業
  • 09/1994-07/1998：北京師範大學電子系，電子學專業學士

工作經歷

  • 08/2022-現在：人工智慧學院，副教授
  • 09/2007-07/2022：北京師範大學心理學部認神經科學與學習國家重點實驗室，副教授。
  • 8/2005-8/2007：Center for Human Development, University of California, San Diego，博士後
  • 9/1998-5/2000：天津工業大學高教研究室，助研

研究概述

  • 基於各種神經影像技術，運用人工智慧和計算機科學的基本理論、方法和技術手段，開展神經影像數據的分析、信息挖掘以及類腦計算模型等方面的方法學研究。與認知問題相結合，開展人腦的認知加工動態網路連線模型以及視覺信息加工的神經編解碼模型研究。

主持的項目

  • 靜息態fMRI多層時間網路的動態和控制特性研究及在老化中的套用（62071050）,國家自然科學基金面上項目，2021-2024
  • 基於功能磁共振成像的三維運動編解碼計算模型（61671067）國家自然科學基金面上項目，2017-2020
  • 基於實時功能磁共振成像的腦狀態解碼研究(61271111) 國家自然科學基金面上項目，2013.1-2016.12
  • 獨立成分分析法在功能磁共振成像數據分析中的若干問題(60805040), 國家自然科學基金青年基金，2009-2011

論文成果

  • 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 (Accepted)
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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.
  • 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.
  • 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.
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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.
  • 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
  • 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
  • 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
  • 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.
  • 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
  • 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
  • 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
  • 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.
  • 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.
  • 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 .
  • 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.
  • 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.
  • 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

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