Evidence map›Paper›PMID 37862364›Full record

ArticlePLoS computational biology2023

Phi fluctuates with surprisal: An empirical pre-study for the synthesis of the free energy principle and integrated information theory.

Christoffer Lundbak Olesen, Peter Thestrup Waade, Larissa Albantakis, Christoph Mathys

Abstract read
In one paragraph

Article in PLoS computational biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Article
  2. Article
  3. System Integrated Information.Entropy (Basel, Switzerland) · 2023
    Article
  4. Article
  5. Neuroscience of consciousness · 2021
    Review
  6. Predictive Neuronal Adaptation as a Basis for Consciousness.Frontiers in systems neuroscience · 2021
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Christoffer Lundbak OlesenInteracting Minds Centre (IMC), Aarhus University, Aarhus, Denmark.ORCID 0000-0002-7974-1463
Peter Thestrup WaadeInteracting Minds Centre (IMC), Aarhus University, Aarhus, Denmark.
Larissa AlbantakisDepartment of Psychiatry, University of Wisconsin, Madison, Wisconsin, United States of America.ORCID 0000-0003-1000-9917
Christoph MathysInteracting Minds Centre (IMC), Aarhus University, Aarhus, Denmark.ORCID 0000-0003-4079-5453

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Free Energy Principle (FEP) and Integrated Information Theory (IIT) are two ambitious theoretical approaches. The first aims to make a formal framework for describing self-organizing and life-like systems in general, and the second attempts a mathematical theory of conscious experience based on the intrinsic properties of a system. They are each concerned with complementary aspects of the properties of systems, one with life and behavior, the other with meaning and experience, so combining them has potential for scientific value. In this paper, we take a first step towards such a synthesis by expanding on the results of an earlier published evolutionary simulation study, which show a relationship between IIT-measures and fitness in differing complexities of tasks. We relate a basic information theoretic measure from the FEP, surprisal, to this result, finding that the surprisal of simulated agents' observations is inversely related to the general increase in fitness and integration over evolutionary time. Moreover, surprisal fluctuates together with IIT-based consciousness measures in within-trial time. This suggests that the consciousness measures used in IIT indirectly depend on the relation between the agent and the external world, and that it should therefore be possible to relate them to the theoretical concepts used in the FEP. Lastly, we suggest a future approach for investigating this relationship empirically.

Indexed as

BrainInformation TheoryComputer SimulationConsciousnessModels, Neurological

Identifiers

PMID37862364
PMCPMC10619809

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.