Anagh Pathak

This study examines polysynaptic signal propagation in neural mass models across different dynamical regimes and benchmarks results against empirical data.

The paper shows that topological and dynamical asymmetries in brain networks generate infra-slow oscillations through coupled oscillator models.

This paper proposes that arousal-driven transitions across critical lines reproduce human functional connectivity dynamics, showing improved fit to empirical data.

The paper examines how emotion arousal, but not valence, is reflected in aperiodic EEG components using a thalamocortical model and the DEAP dataset.

This paper quantifies how brain stimulation affects global network dynamics by measuring metastability changes in EEG data and using a digital twin model to simulate these effects.

The paper shows that preserving neural synchrony at peak alpha frequency through global synaptic scaling compensates for white matter decline in aging humans.

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.