Arpan Banerjee

The paper uses computational modeling and empirical EEG data to show that hemispheric lateralization of brain function arises from dynamic interactions in the structural connectome.

This study examines age-related changes in directed functional connectivity among triple networks using resting-state fMRI, revealing thalamo-cortical interactions influence network reconfiguration.

This study examines age-related changes in global neural communication patterns using MEG data across the lifespan, finding shifts in coherence and metastability that reflect underlying coordination dynamics.

The paper links individual variability in perception to neural dynamics by analyzing EEG data and proposing a biophysical model of brain network interactions.

This study investigates the functional organization of visual streams using fMRI, finding input-based dissociation and context-dependent plasticity rather than fixed ventral/dorsal segregation.

This paper evaluates inverse methods for EEG/MEG source localization using simulated and empirical data, finding that eLORETA better controls false positives in distributed scenarios.

This study uses EEG and computational modeling to explain inter-individual and inter-trial variability in cross-modal perception by analyzing brain connectivity patterns and neuronal interactions.