498 citations · 1.6k across the 46 of their papers we have counts for
7 papers · 1 filter
Learning, compression, and leakage: Minimising classification error via meta-universal compression principles
Fernando E. Rosas, Pedro A. M. Mediano, Michael Gastpar
Learning and compression are driven by the common aim of identifying and exploiting statistical regularities in data, which opens the door for fertile collaboration between these a…
Causal blankets: Theory and algorithmic framework
Fernando E. Rosas, Pedro A. M. Mediano, Martin Biehl +2
We introduce a novel framework to identify perception-action loops (PALOs) directly from data based on the principles of computational mechanics. Our approach is based on the notio…
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…
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…
An operational information decomposition via synergistic disclosure
Fernando Rosas, Pedro Mediano, Borzoo Rassouli +1
Multivariate information decompositions hold promise to yield insight into complex systems, and stand out for their ability to identify synergistic phenomena. However, the adoption…