1.2k citations · 2.2k across the 23 of their papers we have counts for
9 papers · 1 filter
Hybrid Predictive Coding: Inferring, Fast and Slow
Alexander Tschantz, Beren Millidge, Anil K Seth +1
Predictive coding is an influential model of cortical neural activity. It proposes that perceptual beliefs are furnished by sequentially minimising "prediction errors" - the differ…
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…
Relaxing the Constraints on Predictive Coding Models
Beren Millidge, Alexander Tschantz, Anil Seth +1
Predictive coding is an influential theory of cortical function which posits that the principal computation the brain performs, which underlies both perception and learning, is the…
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…