A predictive processing theory of sensorimotor contingencies: explaining the puzzle of perceptual presence and its absence in synesthesia.
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Normal perception involves experiencing objects within perceptual scenes as real, as existing in the world. This property of "perceptual presence" has motivated "sensorimotor theories" which understand perception to involve the mastery of sensorimotor contingencies. However, the mechanistic basis of sensorimotor contingencies and their mastery has remained unclear. Sensorimotor theory also struggles to explain instances of perception, such as synesthesia, that appear to lack perceptual presence and for which relevant sensorimotor contingencies are difficult to identify. On alternative "predictive processing" theories, perceptual content emerges from probabilistic inference on the external causes of sensory signals, however, this view has addressed neither the problem of perceptual presence nor synesthesia. Here, I describe a theory of predictive perception of sensorimotor contingencies which (1) accounts for perceptual presence in normal perception, as well as its absence in synesthesia, and (2) operationalizes the notion of sensorimotor contingencies and their mastery. The core idea is that generative models underlying perception incorporate explicitly counterfactual elements related to how sensory inputs would change on the basis of a broad repertoire of possible actions, even if those actions are not performed. These "counterfactually-rich" generative models encode sensorimotor contingencies related to repertoires of sensorimotor dependencies, with counterfactual richness determining the degree of perceptual presence associated with a stimulus. While the generative models underlying normal perception are typically counterfactually rich (reflecting a large repertoire of possible sensorimotor dependencies), those underlying synesthetic concurrents are hypothesized to be counterfactually poor. In addition to accounting for the phenomenology of synesthesia, the theory naturally accommodates phenomenological differences between a range of experiential states including dreaming, hallucination, and the like. It may also lead to a new view of the (in)determinacy of normal perception.
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The agent's model must be able to entertain counterfactually rich representations, i.e., beliefs about several alternative potential actions and the states of affairs these actions would bring about.
“Hence the agent’s model must be able to entertain ‘counterfactually rich’ representations; i.e., beliefs about several alternative potential actions and the states of affairs that these actions would bring about”
From 'Seeing the Dark': Grounding Phenomenal Transparency and Opacity in Precision Estimation for Active Inference (2018) · cites this paper as Seth, 2014
In “Predictive processing, sensorimotor contingencies, and counterfactual HGMs” (page not provided), Seth describes models that predict the sensory consequences of possible actions. The Conclusions likewise links counterfactual richness to perceptual presence. This supports the action–outcome idea, but the paper does not establish that an agent’s model generally must represent alternative actions and all the states of affairs they would bring about. (LLM, conf=0.82)
Experimental — accuracy not yet measuredThe perceived realness of objects depends on the identification of features invariant to some potential counterfactual manipulation of the object.
“The latter case fits well with Seth’s (2014) related proposal that the perceived ‘realness’ of objects depends on the identification of features invariant to some potential (counterfactual) manipulation of the object.”
From 'Seeing the Dark': Grounding Phenomenal Transparency and Opacity in Precision Estimation for Active Inference (2018) · cites this paper as Seth, 2014
In “Presence, precision expectations, and action,” Seth proposes that an object's perceived presence depends on rich predictions about the sensory consequences of possible actions. The paper does not make identification of features invariant under a potential manipulation of the object the basis of that realness; its counterfactuals concern how sensory input could change with action. (LLM, conf=0.86)
Experimental — accuracy not yet measuredSuch counterfactual aspects of perceptual prediction may underlie basic properties perceptual experience, such as 'presence' or 'objecthood'.
“Interestingly, it has been suggested that such counterfactual aspects of perceptual prediction may underlie basic properties perceptual experience, such as ‘presence’ or ‘objecthood’ [36].”
From Active interoceptive inference and the emotional brain (2016) · cites this paper as [36]
This formulation is reminiscent of certain action-oriented or enactive approaches to consciousness, such as sensorimotor contingency theory.
“This formulation is reminiscent of certain action-oriented or enactive appro aches to consciousness, such as sensorimotor contingency theory (O'Regan, 2011; O'Regan & Noë, 2001; see also Seth, 2014).”
From Integrated information and predictive processing theories of consciousness: An adversarial collaborative review (2026) · cites this paper as Seth, 2014
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Pseudo-Synesthesia through Reading Books with Colored Letters
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Attention, Automaticity, and Awareness in Synesthesia
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Evidence Against Functionalism from Neuroimaging of the Alien Colour Effect in Synaesthesia
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Embodied inference and spatial cognition
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Automaticity in sequence-space synaesthesia: A critical appraisal of the evidence
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Understanding ‘sensorimotor understanding’
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How are qualia coupled to functions?
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Auditory modulation of visual stimulus encoding in human retinotopic cortex
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Neural plasticity and consciousness: Reply to Block
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The deferential brain in action:
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Flagged first, then by citations
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Active interoceptive inference and the emotional brain
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“Interestingly, it has been suggested that such counterfactual aspects of perceptual prediction may underlie basic properties perceptual experience, such as ‘presence’ or ‘objecthood’ (37).”
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From cognitivism to autopoiesis: towards a computational framework for the embodied mind
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The free energy principle for action and perception: A mathematical review
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Self-citationBeing a Beast Machine: The Somatic Basis of Selfhood
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“This perspective accounts for distinctive aspects of the phenomenology of selfhood, including its relationship to ‘objecthood’ [55] and its subjective stability over time.”
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Cellular Mechanisms of Conscious Processing
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Bayesian approaches to autism: Towards volatility, action, and behavior.
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Introduction: The Varieties of Enactivism
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New directions in predictive processing
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The neuroscience of body memory: From the self through the space to the others
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Am i self-conscious? (or does self-organization entail self-consciousness?)
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“Hence the agent’s model must be able to entertain ‘counterfactually rich’ representations; i.e., beliefs about several alternative potential actions and the states of affairs that these actions would bring about (Friston et al., 2014, 2017c; Seth, 2014; Pezzulo, 2017; cf. Powers, 1973/2005).”
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Predictive processing as a systematic basis for identifying the neural correlates of consciousness
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Hallucinations as Top-Down Effects on Perception
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A social Bayesian brain: how social knowledge can shape visual perception
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Self-citationThe sense of agency – a phenomenological consequence of enacting sensorimotor schemes
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Content and misrepresentation in hierarchical generative models
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Perceptual reality monitoring: Neural mechanisms dissociating imagination from reality
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“Surprise” and the Bayesian Brain: Implications for Psychotherapy Theory and Practice
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From Generative Models to Generative Passages: A Computational Approach to (Neuro) Phenomenology
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Self-citationPrior expectations facilitate metacognition for perceptual decision
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Self-citationInformation generation as a functional basis of consciousness
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Multisensory integration and cross-modal learning in synaesthesia: A unifying model
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Information Closure Theory of Consciousness
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An algorithmic information theory of consciousness
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Neuropharmacological modulation of the aberrant bodily self through psychedelics
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Presence, objecthood, and the phenomenology of predictive perception
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Self-citationImage content is more important than Bouma’s Law for scene metamers
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“…leading theories such as IIT (Oizumi et al. 2014), GNW Theory (Dehaene and Changeux 2004), Predictive Processing [when applied to account for conscious experience (Hohwy 2012; Hobson et al. 2014; Seth 2014; Clark 2019; Dolega and Dewhurst 2020)], or Higher Order Thought Theory (Rosenthal 2002).”
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Falsification and consciousness
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Sensorimotor theory of consciousness
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Cross-modal prediction changes the timing of conscious access during the motion-induced blindness
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An extended case study on the phenomenology of sequence-space synesthesia
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Self-citationAltered states of consciousness and creativity
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Self-citationEnhanced top-down sensorimotor processing in somatic anxiety
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Mechanistic unity of the predictive mind
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Laying down a forking path: Incompatibilities between enaction and the free energy principlePreprint
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Rothen, N., Schwartzman, D. J., Bor, D., & Seth, A. K. (2018) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2018.01.030 · Cited by 22 · see citing works
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Self-citationHow passive is passive listening? Toward a sensorimotor theory of auditory perception
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Counterfactual cognition and psychosis: adding complexity to predictive processing accounts
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Using Extended Reality to Study the Experience of Presence
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Self-citationBody as First Teacher: The Role of Rhythmic Visceral Dynamics in Early Cognitive Development
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Active inference through whiskers
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Sensorimotor Direct Realism: How We Enact Our World
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Stochastic resonance model of synaesthesia
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Lessons of synaesthesia for consciousness: Learning from the exception, rather than the general
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Transforming agency: On the mode of existence of large language models
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From Prediction to Imagination
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Scientific Observation Is Socio-Materially Augmented Perception: Toward a Participatory Realism
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The Constrained Disorder Principle May Account for Consciousness
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Music-Colour Synaesthesia: A Sensorimotor Account
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Skora, L. I., Seth, A. K., & Scott, R. B. Y. (2021) · Neuroscience of Consciousness · doi:10.1093/nc/niab003 · Cited by 17 · see citing works
Self-citation
- Authors
- Seth, A. K.
- Affiliations
- University of Sussex (GB)
- Corresponding author
- Seth, Anil K.
- ORCID
- Seth, Anil K.
- Venue
- Cognitive Neuroscience
- Publisher
- Informa UK Limited
- Published
- 2014-01-21
- Volume
- 5
- Issue
- 2
- Pages
- 97-118
- ISSN
- 1758-8928 (ISSN-L)
- 1758-8936
- PMC
- PMC4037840
- OpenAlex
- W2080654992
- Cited by
- 346
- References
- 121
- Citations by year
- 2026: 23 · 2025: 38 · 2024: 26 · 2023: 56 · 2022: 25 · 2021: 22 · 2020: 32 · 2019: 29 · 2018: 19 · 2017: 27 · 2016: 14 · 2015: 22 · 2014: 13
- FWCI
- 2.44
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Cognitive Neuroscience (publishedVersion)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Sussex Research Online (University of Sussex) (submittedVersion, cc-by)
- Figshare (submittedVersion, cc-by)
- Funders
- European Commission (258749)
- Engineering and Physical Sciences Research Council (EP/G007543/1)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Embodied and Extended Cognition
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Philosophy and Theoretical Science
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Multisensory perception and integration
- Keywords
- predictive processing, sensorimotor contingencies, perceptual presence, synesthesia, counterfactual reasoning, generative models, dreams, hallucinations, probabilistic inference
- MeSH terms
- Synesthesia, Bayes Theorem, Humans, Perception, Perceptual Disorders, Photic Stimulation
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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