Neurorepresentationalism
Explanation
Neurorepresentationalism, developed by the Dutch neuroscientist Cyriel Pennartz in The Brain's Representational Power (2015) and updated in recent works, defines conscious experience as a multimodal situational survey of the world and the body, constructed by brain systems specialised in producing the best representations available at each moment. Consciousness would be the state in which those representations reach a certain level of integration, complexity and usefulness for deliberative action.
The thesis rests on seven properties that Pennartz considers constitutive of conscious experience. Among them: multimodality (the integration of sensory modalities into a coherent scene), situatedness (representing the specific environment in which the organism finds itself here and now), action-orientation (the representations guide decisions), phenomenal quality (the representations have their own what-it-is-like), and self-referentiality (the subject is present in the scene as an implicit actor). The theory claims that any neural mechanism candidate for consciousness substrate must perform these seven functions.
A strength of the framework is its natural connection with predictive processing, from which Pennartz takes the idea of the brain as inferential machine, but to which he adds a strong representationalist bias: representations are not mere functional states, but structured contents with phenomenological properties. Neuroscience must look for which brain circuits generate representations with the seven properties; consciousness is a function of that representational capacity, not of a mechanism foreign to it.
Pennartz has been especially interested in animal consciousness and in the comparative study across species. If consciousness is a function of the capacity to generate these situated multimodal representations, which animals have them? Comparative study of the hippocampus, sensory cortex, limbic system in mammals and birds allows diagnosis of who can be generating representations with the seven features. This effort connects the theory with the debate about which animals are sentient, and with adjacent ethical questions.
An important institutional signal: the ARC (Adversarial Collaboration) project on theories of consciousness, which includes collaborations between proponents of rival theories, has recently distinguished neurorepresentationalism as a specific variant within the group of representationalist and predictive frameworks, alongside IIT and GNWT. This places it formally in the competitive landscape, not as mere reformulation of other theories but as a proposal with its own identity. Its influence today is emerging with real traction, especially among neuroscientists who want a theory more anchored in concrete biology than IIT.
The main criticism points out that neurorepresentationalism may seem too close to a representational reformulation of predictive processing, and must demonstrate more sharply what specific predictions it produces that are not absorbed by other representationalist frameworks. What observation would specifically favour neurorepresentationalism over standard predictive processing? Pennartz has responded by emphasising the seven properties as a distinctive set, but the debate remains open. For an exhaustive catalogue of theories, it is worth keeping it as a differentiated entry, both for its own content and for its institutional place in current debates.
Strengths
- Operational definition with seven constitutive properties.
- Strong connection with predictive processing and comparative neuroscience.
- Applicable to animal consciousness and ethics of welfare.
- Institutionally recognised in ARC projects.
- Greater biological anchoring than IIT.
Main critiques
- Risk of overlap with predictive processing.
- The seven properties may seem a list without theoretical unity.
- Discriminating predictions still to be refined.
- Lower impact outside comparative neuroscience.