New 'Sensation Modulating Network' model grounds consciousness in body's physics
A new theory says haltability—not the brain—is the key to object perception.
G. Nagarjuna and Durgaprasad Karnam introduce the Sensation Modulating Network (SMN), a radical new model of embodied cognition that treats the entire body as the cognitive agent. Instead of a brain-centric view, the SMN architecture is built from sensation modulators—tissue that both senses and acts—paired into coordinated action zones routed by body-wide broadcasts. The core insight is haltability: the active holding of an opponent equilibrium, which the authors argue is the architectural prerequisite for object-directed phenomenology. From this single primitive, the body’s geometry and physics (gravity, elasticity, topology) construct a self-model, a world-model, and genuine object perception without assuming these as givens. The paper spans 51 pages with 16 figures and provides pre-registered experimental protocols to test the theory.
This work directly challenges established frameworks like sensorimotor enactivism, active inference, and ecological psychology, positioning them as limiting cases within a wider landscape. Nagarjuna and Karnam argue that the long-standing impasse between cognitivism and 4E approaches (embodied, embedded, extended, enactive) stems from an incomplete architecture of the embodied agent—one that begins with the brain alone rather than the whole body. For AI and robotics, this offers a generative blueprint: a small kit of morphological variations (chains, sheets, tubes) that can build experience by the same mechanism. The paper explicitly links to AI (cs.AI) and robotics (cs.RO) on arXiv, suggesting that replicating haltability in artificial systems could lead to more robust, physics-grounded perception and action.
- Opponent dynamics and haltability (active equilibrium) are the foundational primitives for constructing self and world models.
- The 51-page paper includes 16 figures and pre-registered falsifiable experiments with matched foils for empirical testing.
- Claims to resolve the cognitivism-4E impasse by grounding cognition in the body's physics rather than brain-only models.
Why It Matters
Could provide a new blueprint for building embodied AI that doesn't rely on brain-centric models.