ReviewPhilosophical transactions of the Royal Society of London. Series B, Biological sciences2018
The case of CAUSE: neurobiological mechanisms for grounding an abstract concept.
Review in Philosophical transactions of the Royal Society of London. Series B, Biological sciences, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 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
15 citing papers in PubMed.
- What is so hard about abstract words, anyways? A neuromechanistic explanation using brain-constrained neural network models.Cognitive neurodynamics · 2026Article
- Causal inference from observational data in neurosurgical studies: a mini-review and tutorial.Acta neurochirurgica · 2025Review
- The primacy of experience in language processing: Semantic priming is driven primarily by experiential similarity.Neuropsychologia · 2024Article
- Experientially-grounded and distributional semantic vectors uncover dissociable representations of conceptual categories.Language, cognition and neuroscience · 2024Article
- Decomposing unaccusativity: a statistical modelling approach.Language, cognition and neuroscience · 2024Article
- Breakdown of category-specific word representations in a brain-constrained neurocomputational model of semantic dementia.Scientific reports · 2023Article
- Neurobiological mechanisms for language, symbols and concepts: Clues from brain-constrained deep neural networks.Progress in neurobiology · 2023Review
- Dyslexia: Causes and Concomitant Impairments.Brain sciences · 2023Review
- Influence of language on perception and concept formation in a brain-constrained deep neural network model.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2023Article
- Modelling concrete and abstract concepts using brain-constrained deep neural networks.Psychological research · 2022Article
- Ultimate Grounding of Abstract Concepts: A Graded Account.Journal of cognition · 2022Article
- Sensorimotor and interoceptive dimensions in concrete and abstract concepts.Journal of memory and language · 2021Article
- Sound-Action Symbolism.Frontiers in psychology · 2021Review
- Chinese-English bilinguals show linguistic-perceptual links in the brain associating short spoken phrases with corresponding real-world natural action sounds by semantic category.Language, cognition and neuroscience · 2021Article
- Varieties of abstract concepts: development, use and representation in the brain.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2018Article
Corrections and comments
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Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
How can we understand causal relationships and how can we understand words such as 'cause'? Some theorists assume that the underlying abstract concept is given to us, and that perceptual correlation provides the relevant hints towards inferring causation from perceived real-life events. A different approach emphasizes the role of actions and their typical consequences for the emergence of the concept of causation and the application of the related term. A model of causation is proposed that highlights the
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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.