ReviewNeuroscience of consciousness2021
Explanatory profiles of models of consciousness - towards a systematic classification.
Review in Neuroscience of consciousness, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.
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Who cites it
39 citing papers in PubMed.
- Qualia as control-theoretic constructs for autonomous agents: event phase space as an action-oriented semantic safety layer.Frontiers in robotics and AI · 2026Article
- Naturalizing perceptual experience: the explanatory power of probabilistic computation and the holographic solution.Frontiers in human neuroscience · 2026Article
- Mirror-induced origination process of human self-consciousness-restructuring consciousness-based cognitive theory.Frontiers in psychology · 2026Article
- A neuroscientific hypothesis on the physical nature of consciousness.Frontiers in human neuroscience · 2026Article
- Toward a true understanding of consciousness: the explanatory power behind the non-physicalist paradigm.Frontiers in human neuroscience · 2026Article
- We need to explain subjective experience, but its explanation may not be mechanistic.Neuroscience of consciousness · 2026Article
- Towards a neuroethological approach to consciousness.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2025Review
- Adversarial testing of global neuronal workspace and integrated information theories of consciousness.Nature · 2025Article
- Methodological issues in consciousness research: theory comparison, the role of empirical evidence, and a replication crisis.Frontiers in psychology · 2025Article
- The multiple generator hypothesis of consciousness.Neuroscience of consciousness · 2025Article
- Beyond mimicry: a framework for evaluating genuine intelligence in artificial systems.Frontiers in artificial intelligence · 2025Review
- Qualia structures collapse for geometric shapes, but not faces, when spatial attention is withdrawn.Neuroscience of consciousness · 2025Article
- The Antagonism Hypothesis: A New View on the Emergence of Consciousness.Brain and behavior · 2024Review
- Consciousness and Energy Processing in Neural Systems.Brain sciences · 2024Article
- Only consciousness truly exists? Two problems for IIT 4.0's ontology.Frontiers in psychology · 2024Article
- Interfacing consciousness.Frontiers in psychology · 2024Article
- The influence of feature-based attention and response requirements on ERP correlates of auditory awareness.Neuroscience of consciousness · 2024Article
- How to be an integrated information theorist without losing your body.Frontiers in computational neuroscience · 2024Article
- Quantifying empirical support for theories of consciousness: a tentative methodological framework.Frontiers in psychology · 2024Article
- (Dis)confirming theories of consciousness and their predictions: towards a Lakatosian consciousness science.Neuroscience of consciousness · 2024Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Models of consciousness aim to inspire new experimental protocols and aid interpretation of empirical evidence to reveal the structure of conscious experience. Nevertheless, no current model is univocally accepted on either theoretical or empirical grounds. Moreover, a straightforward comparison is difficult for conceptual reasons. In particular, we argue that different models explicitly or implicitly subscribe to different notions of what constitutes a satisfactory explanation, use different tools in their explanatory endeavours and even aim to explain very different phenomena. We thus present a framework to compare existing models in the field with respect to what we call their 'explanatory profiles'. We focus on the following minimal dimensions: mode of explanation, mechanisms of explanation and target of explanation. We also discuss the empirical consequences of the discussed discrepancies among models. This approach may eventually lead to identifying driving assumptions, theoretical commitments, experimental predictions and a better design of future testing experiments. Finally, our conclusion points to more integrative theoretical research, where axiomatic models may play a critical role in solving current theoretical and experimental contradictions.
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