Borja Camino‐Pontes

Systemic and kinematic properties of Amoeba proteus migration correlate strongly across environments

This study identifies six consistent couplings between systemic and kinematic properties of Amoeba proteus migration across different environments.

Quantifying the Information Capacity of DNA Methylation as an Epigenetic Memory System

The paper quantifies the information capacity of DNA methylation using Shannon information theory to estimate its role as an epigenetic identity code.

Multi-timescale PTM architecture in human RNA polymerase II

The paper quantifies the information capacity of post-translational modifications (PTMs) on human RNA polymerase II, distinguishing theoretical maximum from physiologically achievable regulatory capacity.

Bridging Higher-Order Information Theory and Neuroimaging: A Voxel-Wise O-Information Framework

This paper introduces a voxel-wise O-information framework to analyze high-order functional interactions in neuroimaging data, revealing age-related changes in default mode network redundancy.

Brain structural modules associated to functional high-order interactions in the human brain

This study investigates the coupling between structural connectivity and high-order functional interactions in the human brain, finding that structural networks are associated with both redundant and synergistic functional interactions.

Systemic migrations in enucleated cells

This study investigates the migratory behavior of enucleated and non-enucleated cells, showing that locomotion is regulated by systemic, self-organized dynamics.

Forces directing the systemic correlations of cell migration

The paper quantitatively analyzes cell migration trajectories across species and stimuli, finding that directional movement results from systemic, integrative cellular processes rather than individual molecular components.

Interaction information along lifespan of the resting brain dynamics reveals a major redundant role of the default mode network

The paper calculates interaction information from fMRI data to examine redundancy and synergy in brain networks across lifespan, finding high redundancy in the default mode network and balanced redundancy-synergy patterns.