268 citations · 371 across the 18 of their papers we have counts for
5 papers · 1 filter
Bayesian recurrent state space model for rs-fMRI
Arunesh Mittal, Scott Linderman, John Paisley +1
We propose a hierarchical Bayesian recurrent state space model for modeling switching network connectivity in resting state fMRI data. Our model allows us to uncover shared network…
Deep Bayesian Nonparametric Factor Analysis
Arunesh Mittal, Paul Sajda, John Paisley
We propose a deep generative factor analysis model with beta process prior that can approximate complex non-factorial distributions over the latent codes. We outline a stochastic E…
Latent neural source recovery via transcoding of simultaneous EEG-fMRI
Xueqing Liu, Linbi Hong, Paul Sajda
Simultaneous EEG-fMRI is a multi-modal neuroimaging technique that provides complementary spatial and temporal resolution for inferring a latent source space of neural activity. In…
Unsupervised Sparse-view Backprojection via Convolutional and Spatial Transformer Networks
Xueqing Liu, Paul Sajda
Many imaging technologies rely on tomographic reconstruction, which requires solving a multidimensional inverse problem given a finite number of projections. Backprojection is a po…
Scale-specific dynamics of large-amplitude bursts in EEG capture behaviorally meaningful variability
Kanika Bansal, Javier O. Garcia, Nina Lauharatanahirun +3
Cascading large-amplitude bursts in neural activity, termed avalanches, are thought to provide insight into the complex spatially distributed interactions in neural systems. In hum…