ArticleCerebral cortex (New York, N.Y. : 1991)2020
Degeneracy and Redundancy in Active Inference.
Article in Cerebral cortex (New York, N.Y. : 1991), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 2 of them syntheses that pooled it.
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Who cites it
23 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Psychopathy and medial frontal cortex: A systematic review reveals predominantly null relationships.Neuroscience and biobehavioral reviews · 2024Pooled it
- Comprehensive investigation of predictive processing: A cross- and within-cognitive domains fMRI meta-analytic approach.Human brain mapping · 2024Pooled it
- Limb apraxia and active inference in the visuomotor pathways.Psychonomic bulletin & review · 2026Review
- Resilience and brain health in global populations.Nature medicine · 2025Review
- Dynamic causal modelling in probabilistic programming languages.Journal of the Royal Society, Interface · 2025Article
- Multiple brain activation patterns for the same perceptual decision-making task.Nature communications · 2025Article
- Supplementary motor area in speech initiation: A large-scale intracranial EEG evaluation of stereotyped word articulation.iScience · 2025Article
- Bistable perception, precision and neuromodulation.Cerebral cortex (New York, N.Y. : 1991) · 2024Article
- Behavior can be decoded across the cortex when individual differences are considered.Imaging neuroscience (Cambridge, Mass.) · 2024Article
- Degeneracy in the neurological model of auditory speech repetition.Communications biology · 2023Article
- From Computation to Clinic.Biological psychiatry global open science · 2023Review
- Cognitive effort and active inference.Neuropsychologia · 2023Article
- Degeneracy in epilepsy: multiple routes to hyperexcitable brain circuits and their repair.Communications biology · 2023Review
- Invasive Computational Psychiatry.Biological psychiatry · 2023Review
- There's Plenty of Room Right Here: Biological Systems as Evolved, Overloaded, Multi-Scale Machines.Biomimetics (Basel, Switzerland) · 2023Article
- Degenerate pathway for processing smile and other emotional expressions in congenital facial palsy: an hdEEG investigation.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2022Article
- A Computational Neural Model for Mapping Degenerate Neural Architectures.Neuroinformatics · 2022Article
- A new science of emotion: implications for functional neurological disorder.Brain : a journal of neurology · 2022Review
- Resilience and active inference.Frontiers in psychology · 2022Article
- Predictive processing models and affective neuroscience.Neuroscience and biobehavioral reviews · 2021Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
The notions of degeneracy and redundancy are important constructs in many areas, ranging from genomics through to network science. Degeneracy finds a powerful role in neuroscience, explaining key aspects of distributed processing and structure-function relationships in the brain. For example, degeneracy accounts for the superadditive effect of lesions on functional deficits in terms of a "many-to-one" structure-function mapping. In this paper, we offer a principled account of degeneracy and redundancy, when function is operationalized in terms of active inference, namely, a formulation of perception and action as belief updating under generative models of the world. In brief, "degeneracy" is quantified by the "entropy" of posterior beliefs about the causes of sensations, while "redundancy" is the "complexity" cost incurred by forming those beliefs. From this perspective, degeneracy and redundancy are complementary: Active inference tries to minimize redundancy while maintaining degeneracy. This formulation is substantiated using statistical and mathematical notions of degenerate mappings and statistical efficiency. We then illustrate changes in degeneracy and redundancy during the learning of a word repetition task. Finally, we characterize the effects of lesions-to intrinsic and extrinsic connections-using in silico disconnections. These numerical analyses highlight the fundamental difference between degeneracy and redundancy-and how they score distinct imperatives for perceptual inference and structure learning that are relevant to synthetic and biological intelligence.
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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.