Alice Geminiani

The Cerebellar Engine: Multiscale Digital Brain Co-simulations Reveal How Cerebellar Spiking Architecture Shapes Cortical Coherence

In a mouse whole-brain co-simulation with a spiking olivocerebellar network, cutting mossy-fiber input to cerebellar nuclei lowers M1-S1 gamma coherence, while removing Purkinje inhibition raises it.

Dopamine Depletion Drives Whole-Brain Oscillatory Disruptions via Cortico-Subcortical Resonance: A Multiscale Model of Parkinson's Disease in Mice

This study shows that dopamine depletion in subcortical circuits drives widespread beta-band oscillatory disruptions in the mouse brain through cortico-subcortical resonance.

Mesoscale simulations predict the role of synergistic cerebellar plasticity during classical eyeblink conditioning

The paper uses mesoscale simulations to show that synergistic plasticity in cerebellar circuits is essential for classical eyeblink conditioning.

Scaffold modelling captures the structure-function-dynamics relationship in brain microcircuits

The paper introduces BSB, a framework for modeling brain microcircuits, and applies it to reconstruct and simulate the mouse cerebellar cortex at cellular resolution.

Dual STDP processes at Purkinje cells contribute to distinct improvements in accuracy and vigor of saccadic eye movements.

This paper develops a spiking neural network model of the cerebellum with dual STDP processes to explain how saccadic eye movements are controlled for accuracy and vigor.

Complex dynamics in simplified neuronal models: reproducing Golgi cell electroresponsiveness

The paper introduces the E-GLIF neuron model, which can reproduce complex electroresponsive properties of Golgi cells using a simplified framework.