Halgurd Taher

This paper uses computational modeling to explore how ketamine's dose-dependent NMDAR antagonism affects brain dynamics across its full dose spectrum.

The paper introduces TVB-O, a framework to improve reproducibility and comparability of brain network simulations by standardizing metadata and enabling executable code generation.

The paper uses a neural mass model combined with patient-specific brain networks to simulate seizure propagation and test clinical hypotheses about epileptic seizure dynamics.

This paper develops a neural mass model that exactly reproduces the dynamics of spiking neural networks with synaptic plasticity, showing how memory operations emerge through oscillatory activity and synaptic mechanisms.