498 citations · 1.6k across the 46 of their papers we have counts for
14 papers · 1 filter
Evolving reservoir computers reveals bidirectional coupling between predictive power and emergent dynamics
Hanna M. Tolle, Andrea I Luppi, Anil K. Seth +1
Biological neural networks can perform complex computations to predict their environment, far above the limited predictive capabilities of individual neurons. While conventional ap…
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…
Synergistic information supports modality integration and flexible learning in neural networks solving multiple tasks
Alexandra M. Proca, Fernando E. Rosas, Andrea I. Luppi +3
Striking progress has recently been made in understanding human cognition by analyzing how its neuronal underpinnings are engaged in different modes of information processing. Spec…
Greater than the parts: A review of the information decomposition approach to causal emergence
Pedro A. M. Mediano, Fernando E. Rosas, Andrea I. Luppi +5
Emergence is a profound subject that straddles many scientific disciplines, including the formation of galaxies and how consciousness arises from the collective activity of neurons…
Towards an extended taxonomy of information dynamics via Integrated Information Decomposition
Pedro A. M. Mediano, Fernando E. Rosas, Andrea I Luppi +4
Complex systems, from the human brain to the global economy, are made of multiple elements that interact in such ways that the behaviour of the `whole' often seems to be more than…
Integrated information as a common signature of dynamical and information-processing complexity
Pedro A. M. Mediano, Fernando E. Rosas, Juan Carlos Farah +3
The apparent dichotomy between information-processing and dynamical approaches to complexity science forces researchers to choose between two diverging sets of tools and explanatio…
Whole-brain models to explore altered states of consciousness from the bottom up
Rodrigo Cofré, Rubén Herzog, Pedro A. M. Mediano +4
The scope of human consciousness includes states departing from what most of us experience as ordinary wakefulness. These altered states of consciousness constitute a prime opportu…
Deep active inference agents using Monte-Carlo methods
Zafeirios Fountas, Noor Sajid, Pedro A. M. Mediano +1
Active inference is a Bayesian framework for understanding biological intelligence. The underlying theory brings together perception and action under one single imperative: minimiz…
Reconciling emergences: An information-theoretic approach to identify causal emergence in multivariate data
Fernando E. Rosas, Pedro A. M. Mediano, Henrik J. Jensen +4
The broad concept of emergence is instrumental in various of the most challenging open scientific questions -- yet, few quantitative theories of what constitutes emergent phenomena…
Beyond integrated information: A taxonomy of information dynamics phenomena
Pedro A. M. Mediano, Fernando Rosas, Robin L. Carhart-Harris +2
Most information dynamics and statistical causal analysis frameworks rely on the common intuition that causal interactions are intrinsically pairwise -- every 'cause' variable has…
The Phi measure of integrated information is not well-defined for general physical systems
Adam B. Barrett, Pedro A. M. Mediano
According to the Integrated Information Theory of Consciousness, consciousness is a fundamental observer-independent property of physical systems, and the measure Phi of integrated…
Measuring Integrated Information: Comparison of Candidate Measures in Theory and Simulation
Pedro A. M. Mediano, Anil K. Seth, Adam B. Barrett
Integrated Information Theory (IIT) is a prominent theory of consciousness that has at its centre measures that quantify the extent to which a system generates more information tha…
Balanced Information Storage and Transfer in Modular Spiking Neural Networks
Pedro A. M. Mediano, Murray Shanahan
While information processing in complex systems can be described in abstract, general terms, there are cases in which the relation between these computations and the physical subst…
Integrated Information and Metastability in Systems of Coupled Oscillators
Pedro A. M. Mediano, Juan Carlos Farah, Murray Shanahan
It has been shown that sets of oscillators in a modular network can exhibit a rich variety of metastable chimera states, in which synchronisation and desynchronisation coexist. Ind…