Letizia Chiodo

The paper studies how modular spiking neural networks store and retrieve dynamic spatiotemporal patterns by adjusting temporal overlap between modules.

The paper introduces a framework to identify RNA triple helices using secondary structure data, achieving high precision and accuracy in detecting known triple-helix motifs.

The paper investigates how structural brain connections enable diverse dynamic patterns by testing if neuronal activity near a critical regime explains structural-functional relationships.

This study uses molecular dynamics simulations to analyze conformational changes in botulinum toxins A1 and E1 under different pH conditions, revealing domain movements and structural dynamics.