ArticlePLoS biology2016
Towards a Neuronal Gauge Theory.
Article in PLoS biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.
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Who cites it
40 citing papers in PubMed.
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- Collective intelligence: A unifying concept for integrating biology across scales and substrates.Communications biology · 2024Review
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- As without, so within: how the brain's temporo-spatial alignment to the environment shapes consciousness.Interface focus · 2023Article
- On Bayesian mechanics: a physics of and by beliefs.Interface focus · 2023Article
- Competency in Navigating Arbitrary Spaces as an Invariant for Analyzing Cognition in Diverse Embodiments.Entropy (Basel, Switzerland) · 2022Article
- Why Should Natural Principles Be Simple?Philosophia (Ramat-Gan, Israel) · 2022Article
- Studying the Developing Brain in Real-World Contexts: Moving From Castles in the Air to Castles on the Ground.Frontiers in integrative neuroscience · 2022Review
- The Radically Embodied Conscious Cybernetic Bayesian Brain: From Free Energy to Free Will and Back Again.Entropy (Basel, Switzerland) · 2021Article
- Bayesian mechanics of perceptual inference and motor control in the brain.Biological cybernetics · 2021Article
- Minds and Brains, Sleep and Psychiatry.Psychiatric research and clinical practice · 2021Review
- Active listening.Hearing research · 2021Article
- The thermodynamics of cognition: A mathematical treatment.Computational and structural biotechnology journal · 2021Article
- Bayesian theories of consciousness: a review in search for a minimal unifying model.Neuroscience of consciousness · 2021Review
- Active inference on discrete state-spaces: A synthesis.Journal of mathematical psychology · 2020Review
- Sentience and the Origins of Consciousness: From Cartesian Duality to Markovian Monism.Entropy (Basel, Switzerland) · 2020Article
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5 authors.
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Abstract
Given the amount of knowledge and data accruing in the neurosciences, is it time to formulate a general principle for neuronal dynamics that holds at evolutionary, developmental, and perceptual timescales? In this paper, we propose that the brain (and other self-organised biological systems) can be characterised via the mathematical apparatus of a gauge theory. The picture that emerges from this approach suggests that any biological system (from a neuron to an organism) can be cast as resolving uncertainty about its external milieu, either by changing its internal states or its relationship to the environment. Using formal arguments, we show that a gauge theory for neuronal dynamics--based on approximate Bayesian inference--has the potential to shed new light on phenomena that have thus far eluded a formal description, such as attention and the link between action and perception.
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