Joyneel Misra

This paper applies Switching Linear Dynamical Systems to analyze fMRI data during a threat-of-shock paradigm, revealing dynamic brain patterns and their contributions to threat processing.

This paper introduces a recurrent neural network-based framework to decode and predict individual differences in brain dynamics using fMRI data from movie-watching and experimental conditions.

The paper introduces a temporal Multiple Kernel Learning model to predict resting-state functional connectivity by characterizing fMRI connectivity dynamics and shows improved performance over existing methods.