Saurabh R. Gandhi

This paper presents a network dynamical model of seizure dynamics in a mesoscale mouse brain network, revealing multiple competing pathways to synchronization rather than a single dominant pathway.

The paper presents a multimodal dataset of EEG, eye-tracking, and physiological signals during smartphone interactions and relaxation, enabling analysis of neural and autonomic responses.

This study examines how personalized smartphone notifications affect neural responses across processing stages, finding that they engage robust early salience detection while habitual use affects later attentional and evaluative processing.

This paper models seizure-like synchronization in a mouse brain network using adaptive coupling and resource dynamics, identifying key cortical nodes involved in seizure initiation and propagation.

This paper uses Neuropixels recordings to analyze neurophysiological differentiation (ND) in mouse visual brain areas across timescales, finding higher ND for naturalistic stimuli and successful detection trials.

This study shows that claustrum input affects cortical neurons differently based on brain area, layer, and cell type, suggesting functional modules in claustro-cortical circuits.

The paper measures stimulus-evoked neurophysiological differentiation in mouse visual cortex neurons across layers and areas, finding greater differentiation in specific layers and areas for unscrambled stimuli.