Serafim Rodrigues

The paper uses Forman-Ricci curvature to analyze residue interaction networks in HSV-1 gB-Aβ complexes, revealing geometric changes not captured by conventional methods.

The paper analyzes bursting patterns in Lateral Habenula neurons using experimental data and a computational model, identifying distinct dynamic states and their implications for mood regulation.

This study examines changes in hippocampal granule cell excitability and synaptic transmission after TBI, finding biphasic alterations in synaptic input patterns over time.

This paper shows that ultraweak photon emission from the hippocampus correlates with Alzheimer's disease, oxidative stress, and memory decline in rats, suggesting UPE as a potential biomarker for AD screening.

This paper introduces a topological fingerprint using Local Euler Curvature to identify secondary protein structures, achieving accurate classification through unsupervised clustering and supervised learning.

This paper develops a multivariate signal processing pipeline to build high-order brain networks from fMRI data and identifies high-order hubs associated with distinct brain systems.

The paper applies topological data analysis to spiking patterns in macaque visual cortex, revealing a low-dimensional geometric structure similar to Euclidean or hyperbolic spaces.

The paper investigates the molecular interaction between HSV-1 glycoprotein B and Amyloid-β peptides using FRET to explore their role in virus neutralization.