Guoshi Li

Affiliations: 
University of North Carolina, Chapel Hill, Chapel Hill, NC 
Area:
Computational Neuroscience
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"Guoshi Li"
Mean distance: 14.21 (cluster 17)
 
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Publications

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Li G, Liu Y, Zheng Y, et al. (2021) Multiscale neural modeling of resting-state fMRI reveals executive-limbic malfunction as a core mechanism in major depressive disorder. Neuroimage. Clinical. 31: 102758
Li G, Liu Y, Zheng Y, et al. (2020) Large-scale dynamic causal modeling of major depressive disorder based on resting-state functional magnetic resonance imaging. Human Brain Mapping. 41: 865-881
Li G, Liu Y, Zheng Y, et al. (2019) Identification of Abnormal Circuit Dynamics in Major Depressive Disorder via Multiscale Neural Modeling of Resting-State fMRI. Medical Image Computing and Computer-Assisted Intervention : Miccai ... International Conference On Medical Image Computing and Computer-Assisted Intervention. 11766: 682-690
Li G, Henriquez CS, Fröhlich F. (2019) Rhythmic modulation of thalamic oscillations depends on intrinsic cellular dynamics. Journal of Neural Engineering. 16: 016013
Li G, Cleland TA. (2018) Generative Biophysical Modeling of Dynamical Networks in the Olfactory System. Methods in Molecular Biology (Clifton, N.J.). 1820: 265-288
Li G, Cleland TA. (2017) A coupled-oscillator model of olfactory bulb gamma oscillations. Plos Computational Biology. 13: e1005760
Li G, Henriquez CS, Fröhlich F. (2017) Unified thalamic model generates multiple distinct oscillations with state-dependent entrainment by stimulation. Plos Computational Biology. 13: e1005797
Li G, Linster C, Cleland TA. (2015) Functional differentiation of cholinergic and noradrenergic modulation in a biophysical model of olfactory bulb granule cells. Journal of Neurophysiology. jn.00324.2015
Sethupathy P, Rubin DB, Li G, et al. (2013) A model of electrophysiological heterogeneity in periglomerular cells. Frontiers in Computational Neuroscience. 7: 49
Li G, Cleland TA. (2013) A two-layer biophysical model of cholinergic neuromodulation in olfactory bulb. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 33: 3037-58
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