Shankar Tumati

The paper investigates how intrinsic neural timescales in the human cortex align with spatial core-periphery organization using MEG data and shows ACW-0 better predicts core vs. periphery regions.

This paper investigates the hybrid nature of task-evoked neural activity using intracranial EEG and Deep Learning LSTM models, showing that poststimulus activity is influenced more by prestimulus dynamics than the external stimulus itself.

The paper examines how rest-task modulation affects global signal topography in fMRI data, showing it is linked to dynamic co-activation patterns and not fully explained by respiration effects.

This study investigates how infraslow frequencies process information through their temporal dynamics using resting and task state fMRI data.