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Edmundo Lopez-Sola

10 papers in the library · 46 citations · publishing 2022-2026

Papers

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An algorithmic agent model of pure awareness and minimal experiences

Philosophy and the Mind Sciences May 27, 2026 Edmundo Lopez-Sola, Roser Sanchez-Todo, Jakub Vohryzek et al. 1 citation

The phenomenon of “pure awareness”, central to many contemplative traditions, has recently attracted scientific interest for its relevance to the study of consciousness. In this paper, we investigate pure awareness through the algorithmic agent model, a computational framework with roots in algorithmic information theory. This framework proposes that agents build compressive models of the...

The Complex Brain Hypothesis: Resolving the Entropy-Content Conundrum in Minimal Phenomenal Experience

arXiv (Cornell University) May 15, 2026 Jonas Mago, Edmundo Lopez-Sola, Jakub Vohryzek et al.

Minimal Phenomenal Experiences (MPEs) are states of consciousness in which wakefulness is preserved but phenomenal content is low or absent. The Entropic Brain Hypothesis (EBH) is a model of conscious processes that regards the entropy of spontaneous brain activity as a marker of 'phenomenal richness', exemplified by high-content psychedelic experiences (HCPEs). Yet recent human neuroimaging...

Contemplative Superalignment

Artificial General Intelligence 2026 Ruben Laukkonen, Fionn Inglis, Shamil Chandaria et al. 1 citation

As artificial intelligence (AI) improves, current alignment strategies may falter in the face of unpredictable self-improvement and the sheer complexity of AI. Rather than trying to control behavior, we show how four principles from contemplative traditions can help intrinsically align (super) intelligence. First, mindfulness enables self-monitoring and recalibration of emergent subgoals....

Brain Dynamics of Classical Psychedelics Show Paradoxical Hierarchical Flattening With Increased Complexity

SSRN Electronic Journal 2026 Jakub Vohryzek, Elvira Garcia Guzman, Morten L. Kringelbach et al. 1 citation

Despite divergent behavioral and phenomenological profiles, both psychedelic states and reduced states of consciousness have been associated with a flattening of the brain's functional hierarchy. To address this apparent paradox, we developed a more specific definition of hierarchy based on the proximity of the brain to thermodynamic equilibrium and then applied it to investigate the changes to...

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

bioRxiv September 25, 2025 Jakub Vohryzek, Edmundo Lopez-Sola, Winson F.z. Yang et al. preprint

Advanced meditation offers a powerful lens for investigating consciousness and for understanding how sustained training may contribute to human flourishing. In the spirit of neurophenomenology, we combine first-person reports with model-free empirical analyses and formal whole-brain modeling to investigate the mechanisms underlying advanced meditative states and minimal phenomenal experience...

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

bioRxiv (Cold Spring Harbor Laboratory) March 19, 2025 Giulio Ruffini, Edmundo Lopez-Sola, Raul P. Aristides et al. 8 citations preprint

Abstract Predictive coding frameworks suggest that neural computations rely on hierarchical error minimization, where sensory signals are evaluated against internal model predictions. However, the neural implementation of this inference process remains unclear. We propose that cross-frequency coupling (CFC) furnishes a fundamental mechanism for this form of inference. We first demonstrate that...

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

bioRxiv (Cold Spring Harbor Laboratory) December 16, 2024 Jan C. Gendra, Edmundo Lopez-Sola, Francesca Castaldo et al. 7 citations preprint

Abstract Classical serotonergic psychedelics show promise in addressing neurodegenerative disorders such as Alzheimer’s disease by modulating pathological brain dynamics. However, the precise neurobiological mechanisms underlying their effects remain elusive. This study introduces a personalized whole-brain model built upon a laminar neural mass framework to elucidate these effects. Using...

The Algorithmic Agent Perspective and Computational Neuropsychiatry: From Etiology to Advanced Therapy in Major Depressive Disorder

Entropy November 6, 2024 Giulio Ruffini, Francesca Castaldo, Edmundo Lopez-Sola et al. 10 citations

Major Depressive Disorder (MDD) is a complex, heterogeneous condition affecting millions worldwide. Computational neuropsychiatry offers potential breakthroughs through the mechanistic modeling of this disorder. Using the Kolmogorov theory (KT) of consciousness, we developed a foundational model where algorithmic agents interact with the world to maximize an Objective Function evaluating...

Neural Geometrodynamics, Complexity, and Plasticity: A Psychedelics Perspective

Entropy January 22, 2024 Giulio Ruffini, Edmundo Lopez-Sola, Jakub Vohryzek et al. 15 citations

We explore the intersection of neural dynamics and the effects of psychedelics in light of distinct timescales in a framework integrating concepts from dynamics, complexity, and plasticity. We call this framework neural geometrodynamics for its parallels with general relativity’s description of the interplay of spacetime and matter. The geometry of trajectories within the dynamical landscape of...

Algorithmic structure of experience and the unfolding argument

August 30, 2022 Giulio Ruffini, Edmundo Lopez-Sola, Jakub Vohryzek 3 citations preprint

Here we discuss the impact of issues recently raised about theories of consciousness in light of the so-called "unfolding argument" and the more general falsification requirements on causal structure theories of consciousness. These arguments potentially affect the algorithmic information theory of consciousness (KT), where the structure of a computational system is seen to shape subjective...