Jordi García‐Ojalvo

Mechanistic pathway modeling reveals how IL-10 generates pleiotropic immune responses

The paper develops a mathematical model of the IL-10 signaling pathway to explain its pleiotropic effects and suggests implications for IL-10-based therapies.

Emergence of multifrequency activity in a laminar neural mass model

This paper analyzes a laminar neural mass model to show it can generate periodic, quasiperiodic, and chaotic oscillations, including cross-frequency couplings, and examines how Alzheimer's disease affects these dynamics.

Network-Based Analysis of Human Astrocytes Links Aging to Neurodegenerative and Cardiovascular Diseases

The paper identifies a 127-gene core network in human astrocytes linking aging to neurodegenerative and cardiovascular diseases through proteostasis and stress signaling.

Dissecting infant leukemia developmental origins with a hemogenic gastruloid model

This paper introduces a 3D hemogenic gastruloid model to study infant acute myeloid leukemia origins, showing MNX1-driven transformation of erythroid-myeloid progenitors.

A mosaic gastruloid model highlights the developmental stage-specific restriction of cell competition in mammalian pre-gastrulation

This study uses mosaic gastruloids to show that cell competition in mammalian embryos is restricted to a specific developmental window and depends on signaling pathways like Wnt and BMP.

Opposing Nodal and Wnt signalling activities govern the emergence of the mammalian body plan

This study shows that Nodal and Wnt signalling act antagonistically during mammalian gastrulation, with Nodal promoting anterior structures and Wnt driving posterior development.

Collective fate decisions and cell rearrangements underlie gastruloid symmetry breaking

The paper shows that collective cell fate decisions and mechanical differences drive symmetry breaking in gastruloids through a mechanochemical mechanism.

Learning in single cells: biochemically-plausible models of habituation

This paper shows that simple molecular networks can exhibit all single-stimulus habituation hallmarks through biochemically-plausible models.

Modeling the impact of neuromorphological alterations in Down syndrome on fast neural oscillations

The paper develops a computational model of the mouse motor cortex to study how neuromorphological changes in Down syndrome affect gamma oscillations, finding reduced gamma activity in DS models.

Network-community analysis of cellular senescence

The paper applies network-based methods to identify genetic markers of cellular senescence using cell-type-resolved RNA sequencing data from injured mouse muscle tissue.

A multiscale sensorimotor model of experience-dependent behavior in a minimal organism

The paper develops a multiscale model of experience-dependent behavior in C. elegans, integrating molecular, cellular, and organismal levels to replicate chemotaxis behavior and predict mutant phenotypes.

Multiscale networks in multiple sclerosis

The paper uses multilayer network analysis and multi-omics data to identify biological pathways in MS that explain disease severity and central nervous system damage.

Parametric modeling of mechanical effects on circadian oscillators

This paper extends a biochemical model of circadian rhythms to include mechanical effects, showing that mechanical signals must be within an optimal range for oscillations to occur.

Revealing Shared Proteins and Pathways in Cardiovascular and Cognitive Diseases Using Protein Interaction Network Analysis

The paper identifies shared proteins and pathways between cardiovascular and cognitive diseases using protein interaction network analysis, highlighting oxidative and glycative stress mechanisms in vascular cognitive impairment.

Complex spatiotemporal oscillations emerge from transverse instabilities in large-scale brain networks

This paper shows complex spatiotemporal brain dynamics emerge from transverse instabilities in large-scale neural models.

Comparison between an exact and a heuristic neural mass model with second order synapses

The paper compares an exact neural mass model (NMM2) with a heuristic one (NMM1) in the presence of second-order synaptic dynamics, showing NMM1 fails to capture key dynamical features.

Periodic spatial patterning with a single morphogen

The paper demonstrates that a single morphogen with an intracellular positive feedback loop can generate stable, long-range spatial patterns through a Turing mechanism.

Single-cell Bayesian deconvolution

This paper introduces a Bayesian deconvolution method to separate signal from noise in single-cell measurements, applied to study Brachyury expression in differentiating mouse embryonic stem cells.

Synthetic multistability in mammalian cells

This paper introduces MultiFate, a synthetic gene circuit that enables controllable multistability in mammalian cells, generating up to seven stable states.

Thalamocortical spectral transmission relies on balanced input strengths

This study investigates how thalamocortical connections selectively transmit stimulus-driven information by filtering out spindle oscillations through balanced input strengths and cortical resonance dynamics.

A tunable population timer in multicellular consortia

The paper develops a theoretical framework to study a multicellular timer system that can be tuned by adjusting cellular composition.

Species-specific oscillation periods of human and mouse segmentation clocks are due to cell autonomous differences in biochemical reaction parameters

Mouse and human segmentation clocks oscillate at 2-3 h and 5-6 h; slower HES7 degradation and longer delays in human cells, not sequence, explain it.

Growth factor-mediated coupling between lineage size and cell fate choice underlies robustness of mammalian development

The paper develops a mathematical model showing growth factor signaling ensures robustness in mammalian embryo development by coupling lineage size and cell fate choice.

Soft-wired long-term memory in a natural recurrent neuronal network

The paper demonstrates that recurrent neuronal networks in C. elegans can exhibit long-term memory through complex dynamics without requiring hard-wired modules.

Metabolic basis of brain-like electrical signalling in bacterial communities

The paper investigates how metabolic stress is transmitted through bacterial biofilms via potassium waves, resembling brain-like electrical signaling.

Extracranial estimation of neural mass model parameters using the Unscented Kalman Filter

This paper applies the Unscented Kalman Filter to estimate neural mass model parameters using extracranial EEG data, showing improved accuracy with multiple electrodes.

Bistable emergence of oscillations in structured cell populations

This study shows that collective oscillations in biofilm populations can emerge suddenly with non-zero amplitude through a discontinuous transition.

Hypoarousal non-stationary ADHD biomarker based on echo-state networks

This study identifies a non-stationary ADHD biomarker using Echo State Networks to analyze EEG differences between low and normal arousal states.

Echo State Networks Ensemble for SSVEP Dynamical Online Detection

This paper introduces an Echo State Networks (ESN) approach for dynamical SSVEP detection in BCI systems, showing higher information transfer rates and shorter observation times compared to canonical correlation analysis.

Collective excitability in a mesoscopic neuronal model of epileptic activity

This study shows that coupling between cortical columns in a neuronal model leads to stochastic initiation and noise-independent durations of sustained collective activity, interpreted as epileptic events.