1 citations · 1 across the 4 of their papers we have counts for
6 papers
Bayesian Semiparametric Hidden Markov Random Partition Fields for Factor Collapse on Graphs: A Study of Cortical Mapping of Fingertips
Blake Moya, Kevin Sitek, Arkaprava Roy +2
Understanding how the brain's cortical regions respond to stimuli like fingertip tapping is a significant challenge in neuroscience, especially with high-resolution functional magn…
Bayesian Mixed Multidimensional Scaling for Auditory Processing
Giovanni Rebaudo, Fernando Llanos, Bharath Chandrasekaran +1
The human brain distinguishes speech sounds by mapping acoustic signals into a latent perceptual space. This space can be estimated via multidimensional scaling (MDS), preserving t…
Bayesian Tensor Factorized Vector Autoregressive Models for Inferring Granger Causality Patterns from High-Dimensional Multi-subject Panel Neuroimaging Data
Jingjing Fan, Kevin Sitek, Bharath Chandrasekaran +1
Understanding the dynamics of functional brain connectivity patterns using noninvasive neuroimaging techniques is an important focus in human neuroscience. Vector autoregressive (V…
Bayesian Semiparametric Longitudinal Inverse-Probit Mixed Models for Category Learning
Minerva Mukhopadhyay, Jacie R. McHaney, Bharath Chandrasekaran +1
Understanding how the adult human brain learns novel categories is an important problem in neuroscience. Drift-diffusion models are popular in such contexts for their ability to mi…
Bayesian Semiparametric Longitudinal Drift-Diffusion Mixed Models for Tone Learning in Adults
Giorgio Paulon, Fernando Llanos, Bharath Chandrasekaran +1
Understanding how adult humans learn non-native speech categories such as tone information has shed novel insights into the mechanisms underlying experience-dependent brain plastic…
Stay on path: PCA along graph paths
Megasthenis Asteris, Anastasios Kyrillidis, Alexandros G. Dimakis +2
We introduce a variant of (sparse) PCA in which the set of feasible support sets is determined by a graph. In particular, we consider the following setting: given a directed acycli…