Chang Cai

University of California, San Francisco, San Francisco, CA 
"Chang Cai"
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Verma P, Ranasinghe K, Prasad J, et al. (2024) Impaired long-range excitatory time scale predicts abnormal neural oscillations and cognitive deficits in Alzheimer's disease. Alzheimer's Research & Therapy. 16: 62
Oganian Y, Kojima K, Breska A, et al. (2023) Phase alignment of low-frequency neural activity to the amplitude envelope of speech reflects evoked responses to acoustic edges, not oscillatory entrainment. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience
Cai C, Long Y, Ghosh S, et al. (2023) Bayesian adaptive beamformer for robust electromagnetic brain imaging of correlated sources in high spatial resolution. Ieee Transactions On Medical Imaging
Verma P, Ranasinghe K, Prasad J, et al. (2023) Spectral graph modeling reveals global slowing of neurophysiological network transmission in Alzheimer's disease. Research Square
Hashemi A, Cai C, Gao Y, et al. (2022) Joint Learning of Full-structure Noise in Hierarchical Bayesian Regression Models. Ieee Transactions On Medical Imaging
Cai C, Kang H, Hashemi A, et al. (2022) Bayesian algorithms for joint estimation of brain activity and noise in electromagnetic imaging. Ieee Transactions On Medical Imaging
Huang G, Liu K, Liang J, et al. (2022) Electromagnetic Source Imaging via a Data-Synthesis-Based Convolutional Encoder-Decoder Network. Ieee Transactions On Neural Networks and Learning Systems
Cai C, Hinkley L, Gao Y, et al. (2022) Empirical Bayesian Localization of Event-related Time-frequency Neural Activity Dynamics. Neuroimage. 119369
Ranasinghe K, Verma P, Cai C, et al. (2022) Altered excitatory and inhibitory neuronal subpopulation parameters are distinctly associated with tau and amyloid in Alzheimer's disease. Elife. 11
Hashemi A, Cai C, Kutyniok G, et al. (2021) Unification of Sparse Bayesian Learning Algorithms for Electromagnetic Brain Imaging with the Majorization Minimization Framework. Neuroimage. 118309
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