正高级
赵小杰
学位: 博士
职称: 教授
研究方向: 智能信息处理
联系电话:86-10-58807856
邮箱: zhaox86@163.com
简介
赵小杰,信息科学与技术学院教授,博士生导师。研究方向侧重在智能信息处理方面的研究及应用,特别是神经信息和生物信息的数据分析、数据挖掘和计算模型等方面,利用信息科学领域的方法和技术手段,与认知神经科学相结合,将科研成果应用到基本认知过程、认知障碍的脑机制研究中。近年来,对rt-fMRI神经反馈的数据处理算法和关键技术进行了深入研究。主持参与多项国家自然科学重点项目、面上项目等。近5年来,在国际著名学术刊物发及重要国际会议发表学术论文几十篇。
主持及主要参加的研究项目
基于多模态脑信号构建神经反馈调节对象的研究,国家自然科学基金面上项目,2015.1-2018.12
结合脑电信号的实时功能磁共振成像数据分析及系统实现,国家自然科学基金面上项目,2011.1-2013.12
基于血氧代谢信号的神经反馈:关键理论与技术研究,国家自然科学基金重点项目,2015.1-2019.12
神经影像信息处理及应用-老年痴呆的鉴别、早期预测与预防,国家自然科学基金重大国际合作项目,2013.1-2017.12
基于认知的实时功能磁共振成像的理论与关键技术,国家自然科学基金重点项目,2010.1-2013.12
近期发表文章
Zhang GY, Shen JH, Yao L, Yang YH, Zhao XJ*. Reorganization of functional brain networks mediates the improvement of cognitive performance following real-time neurofeedback training of working memory. Human Brain Mapping 2015, 36:1705-1715.
Shen JH, Zhang GY, Yao L, Zhao XJ*. Real-time fMRI training-induced changes in regional connectivity mediating verbal working memory behavioral performance. Neuroscience, 2015, 289:144-152.
Zhang QS, Zhang GY, Yao L, Zhao XJ*. Impact of real-time fMRI working memory feedback training on the interactions between three core brain networks. Frontiers in Behavioral Neuroscience 2015, 9(244): 1-9.
Li X, Yao L, Ye Q, Zhao X*. Online Spatial Normalization for Real-Time fMRI. PloS ONE 2014, 9(7), e103302.
Zhang GY, Yao L, Zhang H, Long ZY, Zhao XJ*. Improved Working Memory Performance through Self-Regulation of Dorsal Lateral Prefrontal Cortex Activation Using Real-Time fMRI. PLoS ONE 2013, 8(8): e73735.
Zhao XJ, Zhang H, Song ST, Ye Q, Guo J, Yao L. Causal interaction following the alteration of target region activation during motor imagery training using real-time fMRI. Frontiers in Human Neuroscience 2013, 7(886):1-8.
Ma, XY, Zhang H, Zhao XJ, Yao L, Long ZY. Semi-Blind Independent Component Analysis of fMRI Based on Real-Time fMRI System. IEEE transactions on neural systems and rehabilitation engineering, 2013, 21:416-426.
Zhang GY, Zhang H, Li XF, Zhao XJ, Yao L, Long ZY. Functional Alteration of the DMN by Learned Regulation of the PCC Using Real-Time fMRI. IEEE transactions on neural systems and rehabilitation engineering, 2013, 21:595-606.
Zhao XJ, Wen XT, Shen JH, Hong H, Yao L. An Improved Fast Marching Method and Its Application in Alzheimer’s disease. International Journal of Imaging Systems and Technology 2013, 23(4):346-352.
Li XF, Yao L, Zhao XJ*. A Novel HCI System Based on Real-Time fMRI Using Motor Imagery Interaction. Lecture Notes in Computer Science 2013, 8027:703-708.
Guo J, Yao L, Shu H, Zhao XJ*. The oscillatory activities and its synchronization in auditory-visual integration as revealed by event-related potentials to bimodal stimuli. Proc. of SPIE Electronic Imaging 2012, Human Vision and Electronic Imaging, 82911P: 1-7.
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