Edmundo Lopez-Sola

Cross-Frequency Coupling as a Neural Substrate for Prediction Error Evaluation: A Laminar Neural Mass Modeling Approach

This paper proposes that cross-frequency coupling (CFC) mechanisms in a laminar neural mass model support prediction error evaluation in predictive coding, with implications for disorders like Alzheimer's disease and the effects of serotonergic psychedelics.

Fast Interneuron Dysfunction in Laminar Neural Mass Model Reproduces Alzheimer's Oscillatory Biomarkers

This paper develops a laminar neural mass model to simulate Alzheimer's disease progression, showing that PV interneuron dysfunction drives early hyperexcitability and later hypoactivity through electrophysiological biomarkers.

Restoring Oscillatory Dynamics in Alzheimer's Disease: A Laminar Whole-Brain Model of Serotonergic Psychedelic Effects

This paper uses a whole-brain model to simulate how serotonergic psychedelics affect brain dynamics in Alzheimer's disease, showing restored oscillatory patterns and correlation with serotonin receptor distribution.

Whole-Brain Models of Advanced Concentrative Absorption Meditation: Approaching Critical Dynamics through Jhana

The paper uses whole-brain modeling to analyze brain dynamics during advanced meditation states, finding increased functional integration and near-critical dynamics in later states associated with minimal phenomenal experience.

Personalized whole-brain models of seizure propagation

This paper develops personalized whole-brain models of seizure propagation using multimodal clinical data to simulate and evaluate individualized therapeutic strategies.

Brain dynamics of classical psychedelics show paradoxical hierarchical flattening with increased complexity

This study examines how classical psychedelics alter brain hierarchy and complexity, finding they reduce hierarchy while increasing neural complexity.

Neural geometrodynamics, complexity, and plasticity: a psychedelics perspective

The paper explores how psychedelics affect neural dynamics by flattening the neural landscape, increasing complexity, and promoting adaptability through changes in plasticity mechanisms across different timescales.

A physical neural mass model framework for the analysis of oscillatory generators from laminar electrophysiological recordings

This paper introduces a physical neural mass model framework to infer oscillatory generator locations from laminar electrophysiological recordings in macaque monkeys.

Towards a mesoscale physical modeling framework for stereotactic-EEG recordings

The paper develops a framework linking neural mass models with physical models to simulate SEEG recordings more accurately by incorporating current source density and volume conductor effects.

A personalizable autonomous neural mass model of epileptic seizures

This paper introduces a laminar neural mass model that realistically reproduces SEEG recordings during epileptic seizures and demonstrates its ability to capture key electrophysiological features.

Sense of Agency for Mental Actions: Insights from a Belief-Based Action-Effect Paradigm

This study investigates the sense of agency for mental actions using a belief-based action-effect paradigm, finding comparable explicit reports and intentional binding effects for motor and mental actions.