159 citations · 309 across the 6 of their papers we have counts for
6 papers
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…
Decomposing spectral and phasic differences in non-linear features between datasets
Pedro A. M. Mediano, Fernando E. Rosas, Adam B. Barrett +1
When employing non-linear methods to characterise complex systems, it is important to determine to what extent they are capturing genuine non-linear phenomena that could not be ass…
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…