activity
20152026
most citedFunctional complexity emerging from anatomical constraints in the brain: the significance of network modularity and rich-clubs

116 citations · 284 across the 10 of their papers we have counts for

collaborators

10 papers

q-bio.NC2026

The ethics of artificial intelligence in the life sciences: Universality, cultural diversity and an architecture of care

Jean-Pierre Changeux, Gustavo Deco, Morten L. Kringelbach

The life sciences and health research have started to benefit from artificial intelligence, which raises ethical concerns that are real but, we argue, not special. Any science shou…

cs.AI2026

Positive Alignment: Artificial Intelligence for Human Flourishing

Ruben Laukkonen, Seb Krier, Chloé Bakalar +13

Existing alignment research is dominated by concerns about safety and preventing harm: safeguards, controllability, and compliance. This paradigm of alignment parallels early psych…

q-bio.NC2023★ 4 cited

Information decomposition reveals hidden high-order contributions to temporal irreversibility

Andrea I Luppi, Fernando E. Rosas, Gustavo Deco +2

Temporal irreversibility, often referred to as the arrow of time, is a fundamental concept in statistical mechanics. Markers of irreversibility also provide a powerful characterisa…

physics.bio-ph2023★ 1 cited

Violations of the fluctuation-dissipation theorem reveal distinct non-equilibrium dynamics of brain states

Gustavo Deco, Christopher Lynn, Yonatan Sanz Perl +1

The brain is a non-equilibrium system whose dynamics change in different brain states, such as wakefulness and deep sleep. Thermodynamics provides the tools for revealing these non…

q-bio.NC2020★ 88 cited

Non-equilibrium brain dynamics as a signature of consciousness

Yonatan Sanz Perl, Hernan Bocaccio, Ignacio Perez-Ipina +5

The cognitive functions of human and non-human primates rely on the dynamic interplay of distributed neural assemblies. As such, it seems unlikely that cognition can be supported b…

q-bio.NC2020

Generative embeddings of brain collective dynamics using variational autoencoders

Yonatan Sanz Perl, Hernán Boccacio, Ignacio Pérez-Ipiña +5

We consider the problem of encoding pairwise correlations between coupled dynamical systems in a low-dimensional latent space based on few distinct observations. We used variationa…

q-bio.NC2019★ 3 cited

Modeling the relationship between regional activation and functional connectivity during wakefulness and sleep

Ignacio Perez Ipiña, Patricio Donnelly Kehoe, Morten Kringelbach +5

Global brain activity self-organizes into discrete patterns characterized by distinct behavioral observables and modes of information processing. The human thalamocortical system i…

q-bio.NC2016★ 69 cited

How structure sculpts function: unveiling the contribution of anatomical connectivity to the brain's spontaneous correlation structure

Ruggero G. Bettinardi, Gustavo Deco, Vasilis M. Karlaftis +5

Intrinsic brain activity is characterized by highly structured co-activations between different regions, whose origin is still under debate. In this paper, we address the question…

q-bio.NC2016★ 116 cited

Functional complexity emerging from anatomical constraints in the brain: the significance of network modularity and rich-clubs

Gorka Zamora-López, Yuhan Chen, Gustavo Deco +2

The large-scale structural ingredients of the brain and neural connectomes have been identified in recent years. These are, similar to the features found in many other real network…

q-bio.NC2015★ 3 cited

Distinct criticality of phase and amplitude dynamics in the resting brain

Robert Ton, Gustavo Deco, Morten L Kringelbach +2

Converging research suggests that the resting brain operates at the cusp of dynamic instability signified by scale-free temporal correlations. We asked if the scaling properties of…