ArticleInterface focus2012
Identifying mental states from neural states under mental constraints.
Article in Interface focus, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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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.
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Who cites it
5 citing papers in PubMed.
- Principles and open questions in functional brain network reconstruction.Human brain mapping · 2021Review
- Phenomenal Consciousness and Emergence: Eliminating the Explanatory Gap.Frontiers in psychology · 2020Article
- Cognitive Neuroscience and Causal Inference: Implications for Psychiatry.Frontiers in psychiatry · 2016Article
- Fluid convection, constraint and causation.Interface focus · 2012Article
- Laws, causation and dynamics at different levels.Interface focus · 2012Article
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Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This article emphasizes how the recently proposed interlevel relation of contextual emergence for scientific descriptions combines 'bottom-up' and 'top-down' kinds of influence. As emergent behaviour arises from features pertaining to lower level descriptions, there is a clear bottom-up component. But, in general, this is not sufficient to formulate interlevel relations stringently. Higher level contextual constraints are needed to equip the lower level description with those details appropriate for the desired higher level description to emerge. These contextual constraints yield some kind of 'downward confinement', a term that avoids the sometimes misleading notion of 'downward causation'. This will be illustrated for the example of relations between (lower level) neural states and (higher level) mental states.
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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.