24 September 2026

Systemic Functional Neuroscience: A Relational Manifesto

Towards a Relational Semiotic Theory of Brain, Consciousness, and Meaning

Abstract

Systemic Functional Neuroscience (SFN) reconceives the brain not as a computational device or mechanism producing consciousness, but as a substrate for the relational instantiation of semiotic potential. Integrating Hallidayan Systemic Functional Linguistics (SFL) with Edelman’s Theory of Neuronal Group Selection (TNGS), and framed within a relational ontology, SFN treats consciousness, perception, attention, and memory as perspectival cuts from networks of neural and symbolic potential. This manifesto outlines the foundational principles, theoretical commitments, and research agenda of SFN as a transdisciplinary, multi-stratal, relational science of meaning.


1. Introduction: Meaning as Relational Potential

Traditional neuroscience assumes the brain processes inputs, stores representations, and produces outputs. SFN begins elsewhere: meaning is primary. It is not produced by the brain but organises its activity, shaping perception, attention, memory, and consciousness as instantiated potentials across neural, phenomenological, and symbolic strata.

Each conscious moment is a perspectival cut, a structured instantiation drawn from evolving networks of neural and social meaning potential. Consciousness is thus not a thing, property, or output, but an event in relational space.


2. Foundational Commitments

2.1 Meaning as Primary

  • The brain is a semiotic substrate, not a container or generator of meaning.

  • Semiotic potential is constitutive of experience: neural activity, phenomenology, and symbolic expression co-actualise in each instantiation.

2.2 System as Potential

  • Neural networks form instantial systems, relational networks of options.

  • Each instantiation is a cut from potential, actualising some possibilities while leaving others latent.

  • Meaning resides in relations among potentials, not in the elements themselves.

2.3 Stratal Ecology

  • Meaning is realised across co-instantiating strata:

    1. Neural: dynamic ensembles of neuronal groups.

    2. Phenomenological: experiential instantiation (perception, affect, volition).

    3. Symbolic: semiotic structures (language, gesture, culture).

  • Strata are mutually constraining, each instantiation a cross-stratal event.

2.4 Metafunctional Axes

  • Neural instantiations navigate intrinsic axes of meaning:

    • Ideational: construing experience.

    • Interpersonal: enacting relational stance and affect.

    • Textual: structuring flow, coherence, and attention.

  • Metafunctions are organising principles of meaning, realised relationally, not externally imposed.


3. Reframing Core Concepts

3.1 Consciousness

  • A process of relational instantiation, not a state.

  • Each act of consciousness is a neural text, structured, thematically organised, and metafunctionally balanced.

  • Consciousness is a perspectival cut across neural, phenomenological, and symbolic strata.

3.2 Perception

  • Active construal of experience, not passive reception.

  • Neural structures organise potentials into coherent perceptual patterns (Theme–Rheme, Given–New).

  • Perception is relational: a manifestation of semiotic potential, not encoding an objective reality.

3.3 Attention

  • A relational mechanism foregrounding selected potentials in instantiation.

  • It shapes coherence, flow, and thematic prominence across strata.

  • Attention is a vector of alignment, not a spotlight.

3.4 Memory

  • Activation of prior instantiations, forming intertextual resonance.

  • Memory shapes subsequent instantiations by influencing which potentials are foregrounded.

  • It is relational and perspectival, not storage.

3.5 Collective Construal

  • Semiotic potential is distributed across agents.

  • Multiple participants co-actualise shared potential, producing higher-order coherence.

  • Collective instantiations mediate individual and social semiotic dynamics.


4. Methodological Framework

4.1 Mapping Instantial Systems

  • Identify dynamic neural ensembles as networks of potential, not static circuits.

  • Recordings capture snapshots of instantiated relations, not linear cause–effect chains.

4.2 Semiotic-Neural Modelling

  • Adapt Field–Tenor–Mode (FTM) to neural instantiations:

    • Field: experience being construed.

    • Tenor: relational stance enacted.

    • Mode: temporal organisation of the instantiation.

  • Each brain state becomes a meaning clause, not a data point.

4.3 Reconfiguring Experiments

  • Participants are enactors of meaning, not passive responders.

  • Tasks elicit semiotic instantiations, e.g., through language, gesture, or collaborative construction.

4.4 Triangulating Across Strata

  • Combine neural, phenomenological, and symbolic data.

  • Include participant metasemiotic reflection as data on construals of their own meaning-making.

  • Enables cross-stratal coherence analysis.


5. Toward a Relational Science of Meaning

SFN unites neuroscience, linguistics, phenomenology, and systems theory in a multi-stratal relational ecology.

  • The brain is a semiotic infrastructure, not the source of consciousness.

  • Meaning is made and enacted, not stored or decoded.

  • Collective and individual instantiations interact to create coherent patterns of experience and symbolic expression.

Just as linguistics shifted from rule-based grammar to social semiotics, neuroscience must move from computation and storage metaphors to neuronal semiosis and relational instantiation.


6. Conclusion: A Call to Relational Instantiation

SFN is a theory of how meaning is enacted, individually and collectively, across neural, phenomenological, and symbolic strata.

Understanding the brain is not about decoding it. It is about reading instantiations of semiotic potential, as events in a relational ecology of meaning.
“Meaning is not what the brain makes. Meaning is what the brain is for.”

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