99 citations · 176 across the 7 of their papers we have counts for
10 papers
Causal emergence is widespread across measures of causation
Renzo Comolatti, Erik Hoel
Causal emergence is the theory that macroscales can reduce the noise in causal relationships, leading to stronger causes at the macroscale. First identified using the effective inf…
Emergence as the conversion of information: A unifying theory
Thomas Varley, Erik Hoel
Is reduction always a good scientific strategy? Does it always lead to a gain in information? The very existence of the special sciences above and beyond physics seems to hint no.…
Examining the causal structures of deep neural networks using information theory
Simon Mattsson, Eric J. Michaud, Erik Hoel
Deep Neural Networks (DNNs) are often examined at the level of their response to input, such as analyzing the mutual information between nodes and data sets. Yet DNNs can also be e…
Causal Geometry
Pavel Chvykov, Erik Hoel
Information geometry has offered a way to formally study the efficacy of scientific models by quantifying the impact of model parameters on the predicted effects. However, there ha…
The Overfitted Brain: Dreams evolved to assist generalization
Erik Hoel
Understanding of the evolved biological function of sleep has advanced considerably in the past decade. However, no equivalent understanding of dreams has emerged. Contemporary neu…
Falsification and consciousness
Johannes Kleiner, Erik Hoel
The search for a scientific theory of consciousness should result in theories that are falsifiable. However, here we show that falsification is especially problematic for theories…
Finding the right scale of a network: Efficient identification of causal emergence through spectral clustering
Ross Griebenow, Brennan Klein, Erik Hoel
All networks can be analyzed at multiple scales. A higher scale of a network is made up of macro-nodes: subgraphs that have been grouped into individual nodes. Recasting a network…
The emergence of informative higher scales in complex networks
Brennan Klein, Erik Hoel
The connectivity of a network contains information about the relationships between nodes, which can denote interactions, associations, or dependencies. We show that this informatio…
What caused what? A quantitative account of actual causation using dynamical causal networks
Larissa Albantakis, William Marshall, Erik Hoel +1
Actual causation is concerned with the question "what caused what?" Consider a transition between two states within a system of interacting elements, such as an artificial neural n…
When the map is better than the territory
Erik P Hoel
The causal structure of any system can be analyzed at a multitude of spatial and temporal scales. It has long been thought that while higher scale (macro) descriptions of causal st…