Riccardo Zucca

This paper introduces MultiPEC, a method to identify neural representations in artificial and biological systems by reducing context prediction error, showing its effectiveness in both CNNs and EEG data.

This study compares power and connectivity-based sEEG biomarkers for identifying seizure-onset zones in temporal lobe epilepsy, finding that power-based methods generally perform better but both can achieve similar results with optimal parameter tuning.

This paper investigates how hippocampal theta oscillations normalize episodic memory information content relative to sensory input density during virtual navigation.

This study investigates how theta oscillations in the supplementary motor areas (SMAs) support deliberate action switching during a motor sequence task in humans.

This paper analyzes the degree distribution of human brain functional connectivity networks across resolutions and finds they follow a short-tailed generalized Pareto distribution rather than heavy-tailed power laws.

This paper models grid-cell scale and oscillatory frequency gradients in the MEC using spiking neurons and finds intrinsic cellular properties, not external oscillations, drive these patterns.