Hiba Sheheitli

This paper develops a computational model of the parkinsonian subthalamic nucleus showing how synchronized bursting produces beta-HFO coupling and explains HFO frequency shifts.

This study investigates how parkinsonism alters population-level neural activity in M1 during movement, finding increased dimensionality and reduced orthogonality between preparatory and movement-related subspaces.

This paper introduces a modular neural mass model incorporating neuromodulation, specifically dopamine dynamics, and analyzes its effects on oscillatory states.

This paper uses computational modeling and dynamical systems analysis to show that symmetry breaking in brain connectivity generates the resting state manifold, producing key features observed in empirical data.

This paper develops a neural mass model incorporating nonlinear voltage-dependent magnesium block in NMDA receptors, showing its impact on neuronal dynamics and oscillatory behavior.

This paper develops a causal inference framework to link structural connectivity and brain function in aging, showing increased structural modulation in poor cognitive performers.

The paper develops a mathematical model of ephaptic interactions in neuronal fiber pathways, showing they can lead to complex spatio-temporal dynamics beyond simple signal transmission.