ReviewEntropy (Basel, Switzerland)2018
Information Theory and Cognition: A Review.
Review in Entropy (Basel, Switzerland), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
What it found
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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.
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.
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Who cites it
12 citing papers in PubMed.
- An Information-Theoretic Framework for Understanding Learning and Choice Under Uncertainty.Entropy (Basel, Switzerland) · 2025Article
- Object spatial certainty as a measure of spatial variability and its influence on attention.Scientific reports · 2025Article
- Information Theory Opens New Dimensions in Experimental Studies of Animal Behaviour and Communication.Animals : an open access journal from MDPI · 2023Review
- Alzheimer's disease as a fundamental disease of information processing systems: An information theory perspective.Frontiers in neuroscience · 2023Review
- Using the Relative Entropy of Linguistic Complexity to Assess L2 Language Proficiency Development.Entropy (Basel, Switzerland) · 2021Article
- The thermodynamics of cognition: A mathematical treatment.Computational and structural biotechnology journal · 2021Article
- Cognition Without Neural Representation: Dynamics of a Complex System.Frontiers in psychology · 2021Article
- The thermodynamic brain and the evolution of intellect: the role of mental energy.Cognitive neurodynamics · 2020Review
- A Bayesian brain model of adaptive behavior: an application to the Wisconsin Card Sorting Task.PeerJ · 2020Article
- Brain Network Modeling Based on Mutual Information and Graph Theory for Predicting the Connection Mechanism in the Progression of Alzheimer's Disease.Entropy (Basel, Switzerland) · 2019Article
- The Case for Shifting the Rényi Entropy.Entropy (Basel, Switzerland) · 2019Article
- Special Issue on Rate Distortion Theory and Information Theory.Entropy (Basel, Switzerland) · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We examine how information theory has been used to study cognition over the last seven decades. After an initial burst of activity in the 1950s, the backlash that followed stopped most work in this area. The last couple of decades has seen both a revival of interest, and a more firmly grounded, experimentally justified use of information theory. We can view cognition as the process of transforming perceptions into information-where we use information in the colloquial sense of the word. This last clarification is one of the problems we run into when trying to use information theoretic principles to understand or analyze cognition. Information theory is mathematical, while cognition is a subjective phenomenon. It is relatively easy to discern a subjective connection between cognition and information; it is a different matter altogether to apply the rigor of information theory to the process of cognition. In this paper, we will look at the many ways in which people have tried to alleviate this problem. These approaches range from narrowing the focus to only quantifiable aspects of cognition or borrowing conceptual machinery from information theory to address issues of cognition. We describe applications of information theory across a range of cognition research, from neural coding to cognitive control and predictive coding.
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Registered trials
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.