Global signal regression strengthens association between resting-state functional connectivity and behavior.
NeuroImage, 2019
Functional density and edge maps: Characterizing functional architecture in individuals and improving cross-subject registration.
NeuroImage, 2017
A kernel machine method for detecting effects of interaction between multidimensional variable sets: An imaging genetics application.
NeuroImage, 2015
Spatial Modeling of Multiple Sclerosis for Disease Subtype Prediction.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014
Some novel models and methods for neuroimaging data analysis.
PhD thesis, 2013
Imaging genetics - towards discovery neuroscience.
Quant. Biol., 2013
Attention-Dependent Modulation of Cortical Taste Circuits Revealed by Granger Causality with Signal-Dependent Noise.
PLoS Comput. Biol., 2013
Genetics of the connectome.
NeuroImage, 2013
Invariance Principles Allowing of Non-Lyapunov Functions for Estimating Attractor of Discrete Dynamical Systems.
IEEE Trans. Autom. Control., 2012
Increasing power for voxel-wise genome-wide association studies: The random field theory, least square kernel machines and fast permutation procedures.
NeuroImage, 2012
Componential Granger causality, and its application to identifying the source and mechanisms of the top-down biased activation that controls attention to affective vs sensory processing.
NeuroImage, 2012
Granger causality with signal-dependent noise.
NeuroImage, 2011
Granger Causality: Its Foundation and Applications in Systems Biology.
Proceedings of the Handbook of Research on Computational and Systems Biology, 2011
Find synaptic topology from spike trains.
Proceedings of the International Joint Conference on Neural Networks, 2010
A Novel Extended Granger Causal Model Approach Demonstrates Brain Hemispheric Differences during Face Recognition Learning.
PLoS Comput. Biol., 2009