Monica Moroni

The paper develops a generative framework to synthesize missing modalities in multimodal datasets, validated on cancer data, showing it can maintain predictive model performance on incomplete profiles.

This paper corrects optical aberrations in GRIN lens-based microendoscopes to improve imaging performance in deep brain regions.

This paper introduces Signature Distance, a statistical distance that improves upon energy distance for comparing empirical distributions in high-dimensional biological data, showing greater sensitivity to density changes and enabling model-free data expansion.

The paper shows that neural correlations in association cortex enhance behavioral performance by improving information consistency, despite limiting sensory information.

This paper develops eFOV-microendoscopes for high-resolution two-photon imaging in awake mice, showing improved signal-to-noise ratio and precise neuronal activity evaluation.

The paper uses synthetic odors to uncover how neural activity patterns relate to olfactory perception by analyzing spatial and temporal coding.