Ilaria Carannante

BRIDGE is a Python pipeline that reconstructs and validates mean-field models from single neuron dynamics, enabling reproducible and reusable large-scale brain simulations.

This study develops a computational model showing how circadian rhythms modulate excitation-inhibition balance to drive seizure-like dynamics in neuronal networks.

The paper analyzes how neuromodulators reshape neuronal feature spaces across different brain regions and states.

This in-silico study predicts how Parkinson's disease alters striatal network connectivity and glutamatergic drive to striatal projection neurons.

The paper compares Hodgkin-Huxley and kinetic models for NaV1.5 channels, showing kinetic models better capture electrophysiological features with a rational optimization process.