Hasil Pencarian - Mingzhou Ding

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  1. 1
    Decomposing neural synchrony: toward an explanation for near-zero phase-lag in cortical oscillatory networks.

    Decomposing neural synchrony: toward an explanation for near-zero phase-lag in cortical oscillatory networks. oleh Rajasimhan Rajagovindan, Mingzhou Ding

    Diterbitkan 2008-01-01
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  2. 2
    Is Granger causality a viable technique for analyzing fMRI data?

    Is Granger causality a viable technique for analyzing fMRI data? oleh Xiaotong Wen, Govindan Rangarajan, Mingzhou Ding

    Diterbitkan 2013-01-01
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  3. 3
    Amplitude of sensorimotor mu rhythm is correlated with BOLD from multiple brain regions: A simultaneous EEG-fMRI study

    Amplitude of sensorimotor mu rhythm is correlated with BOLD from multiple brain regions: A simultaneous EEG-fMRI study oleh Siyang Yin, Yuelu Liu, Mingzhou Ding

    Diterbitkan 2016-07-01
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  4. 4
    Functional Roles of Neural Preparatory Processes in a Cued Stroop Task Revealed by Linking Electrophysiology with Behavioral Performance.

    Functional Roles of Neural Preparatory Processes in a Cued Stroop Task Revealed by Linking Electrophysiology with Behavioral Performance. oleh Chao Wang, Mingzhou Ding, Benzi M Kluger

    Diterbitkan 2015-01-01
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  5. 5
    Editorial: Techniques Advances and Clinical Applications in Fused EEG-fNIRS

    Editorial: Techniques Advances and Clinical Applications in Fused EEG-fNIRS oleh Zhen Yuan, Zhen Yuan, Xin Zhang, Mingzhou Ding

    Diterbitkan 2019-11-01
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  6. 6
    Editorial: Novel Tools for the Study of Structural and Functional Networks in the Brain

    Editorial: Novel Tools for the Study of Structural and Functional Networks in the Brain oleh Luis M. Colon-Perez, Thomas Mareci, Mingzhou Ding

    Diterbitkan 2018-02-01
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  7. 7
    Emergence of Emotion Selectivity in Deep Neural Networks Trained to Recognize Visual Objects.

    Emergence of Emotion Selectivity in Deep Neural Networks Trained to Recognize Visual Objects. oleh Peng Liu, Ke Bo, Mingzhou Ding, Ruogu Fang

    Diterbitkan 2024-03-01
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  8. 8
    Reciprocal Interactions between Medial Septum and Hippocampus in Theta Generation: Granger Causality Decomposition of Mixed Spike-Field Recordings

    Reciprocal Interactions between Medial Septum and Hippocampus in Theta Generation: Granger Causality Decomposition of Mixed Spike-Field Recordings oleh Daesung Kang, Mingzhou Ding, Irina Topchiy, Bernat Kocsis

    Diterbitkan 2017-12-01
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  9. 9
    Uncovering interactions in the frequency domain.

    Uncovering interactions in the frequency domain. oleh Shuixia Guo, Jianhua Wu, Mingzhou Ding, Jianfeng Feng

    Diterbitkan 2008-05-01
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  10. 10
    Causal interactions in brain networks predict pain levels in trigeminal neuralgia

    Causal interactions in brain networks predict pain levels in trigeminal neuralgia oleh Yun Liang, Qing Zhao, John K. Neubert, Mingzhou Ding

    Diterbitkan 2024-06-01
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  11. 11
    Causal measures of structure and plasticity in simulated and living neural networks.

    Causal measures of structure and plasticity in simulated and living neural networks. oleh Alex J Cadotte, Thomas B DeMarse, Ping He, Mingzhou Ding

    Diterbitkan 2008-01-01
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  12. 12
    Editorial: Balancing Act: Structural-Functional Circuit Disruptions and Compensations in Developing and Aging Brain Disorders

    Editorial: Balancing Act: Structural-Functional Circuit Disruptions and Compensations in Developing and Aging Brain Disorders oleh Lijun Bai, Tuo Zhang, Xi-Nian Zuo, Xi-Nian Zuo, Mingzhou Ding

    Diterbitkan 2020-01-01
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  13. 13
    Compensatory Neural Responses to Cognitive Fatigue in Young and Older Adults

    Compensatory Neural Responses to Cognitive Fatigue in Young and Older Adults oleh Immanuel Babu Henry Samuel, Chao Wang, Sarah E. Burke, Benzi Kluger, Mingzhou Ding

    Diterbitkan 2019-02-01
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  14. 14
    Aftereffects of frontoparietal theta tACS on verbal working memory: Behavioral and neurophysiological analysis

    Aftereffects of frontoparietal theta tACS on verbal working memory: Behavioral and neurophysiological analysis oleh Zhenhong Hu, Immanuel B.H. Samuel, Sreenivasan Meyyappan, Ke Bo, Chandni Rana, Mingzhou Ding

    Diterbitkan 2022-12-01
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  15. 15
    Imaging the neural substrate of trigeminal neuralgia pain using deep learning

    Imaging the neural substrate of trigeminal neuralgia pain using deep learning oleh Yun Liang, Qing Zhao, Zhenhong Hu, Ke Bo, Sreenivasan Meyyappan, John K. Neubert, Mingzhou Ding

    Diterbitkan 2023-05-01
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  16. 16
    2210

    2210 oleh Sarah Elizabeth Burke, Immanuel B. H. Samuel, Qing Zhou, Benzi Kluger, Catherine Price, Mingzhou Ding

    Diterbitkan 2017-09-01
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  17. 17
    Deciding where to attend: Large-scale network mechanisms underlying attention and intention revealed by graph-theoretic analysis

    Deciding where to attend: Large-scale network mechanisms underlying attention and intention revealed by graph-theoretic analysis oleh Yuelu Liu, Xiangfei Hong, Jesse J. Bengson, Todd A. Kelley, Mingzhou Ding, George R. Mangun

    Diterbitkan 2017-08-01
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  18. 18
    Decoding the temporal dynamics of affective scene processing

    Decoding the temporal dynamics of affective scene processing oleh Ke Bo, Lihan Cui, Siyang Yin, Zhenhong Hu, Xiangfei Hong, Sungkean Kim, Andreas Keil, Mingzhou Ding

    Diterbitkan 2022-11-01
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  19. 19
    Optimizing cognitive neuroscience experiments for separating event- related fMRI BOLD responses in non-randomized alternating designs

    Optimizing cognitive neuroscience experiments for separating event- related fMRI BOLD responses in non-randomized alternating designs oleh Soukhin Das, Soukhin Das, Weigang Yi, Mingzhou Ding, George R. Mangun, George R. Mangun, George R. Mangun

    Diterbitkan 2023-04-01
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  20. 20
    Anticipatory attention is a stable state induced by transient control mechanisms

    Anticipatory attention is a stable state induced by transient control mechanisms oleh Sean Noah, Sean Noah, Sreenivasan Meyyappan, Mingzhou Ding, George R. Mangun, George R. Mangun, George R. Mangun

    Diterbitkan 2022-07-01
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