Armando Romani

This study shows that current mechanisms for orientation selectivity in the visual cortex fail in realistic models, suggesting homeostatic plasticity may be necessary.

The paper creates a detailed computational model of rat somatosensory cortex anatomy, including 4.2 million neurons and 14.2 billion synapses, and identifies limitations in connectivity prediction from morphology.

The paper presents a large-scale biophysically detailed model of somatosensory cortex to simulate and validate cortical dynamics and experimental results.

The paper introduces BlueRecording, a pipeline for efficiently calculating extracellular signals in large-scale neural simulations, and applies it to study signal contributions in a rat model.

The paper extends and improves the CCFv3 atlas to cover missing brain regions and enhance alignment for better cell type mapping and data integration.

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 enhances brain atlases with laminar coordinate systems and flatmaps to better represent layered brain regions, enabling improved visualization and modeling of structures like the barrel cortex.

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

HippoUnit provides an open-source Python test suite to systematically compare and evaluate detailed models of rat hippocampal CA1 pyramidal neurons against electrophysiological data.

This paper integrates existing knowledge on rodent hippocampal CA1 synaptic anatomy and physiology into a coherent in silico resource.