Alberto Antonietti

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

This paper develops a spiking neural network model of human auditory brainstem nuclei to study sound localization mechanisms using ITDs and ILDs.

The paper describes a massively collaborative project using spiking neural networks to study sound localization, involving 31 researchers across multiple countries.

This study models nitric oxide diffusion and its role in cerebellar learning using simulations, showing it modulates synaptic plasticity and learning rates.

The paper presents a full-scale in silico model of rat hippocampal CA1 integrating diverse experimental data and validates it through simulations of theta rhythm and other experiments.

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

The paper quantifies neuromodulatory fiber length and varicosity density in rat somatosensory cortex and predicts their effects on network activity.

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.

The paper evaluates image quality in scientific publications, identifying common issues and providing guidelines to improve clarity and accessibility.