Abstract:
This paper introduces the General Reality Theory (GRT), a unifying geometric framework positing that subjective perception in biological systems arises from the construction and navigation of a high-dimensional information manifold. The GRT moves beyond classical exteroceptive models by proposing that the brain’s primary computational objective is not the veridical reconstruction of an external world, but the predictive homeostatic regulation of the organism itself. We synthesize a suite of modality-specific theories—spanning exteroception, interoception, and proprioception—to define the architecture of this General Reality Manifold (GRM), a conceptual state-space of 11 principal dimensions. Within this framework, neural computation is formalized as a state-dependent tensor transformation, where the entire neuroaxis functions as a metric tensor mapping covariant sensory inputs to contravariant perceptual and motor outputs. The geometry of the GRM is shown to be dynamic and non-Euclidean, shaped by a foundational substrate of predictive and interoceptive states. The GRT provides a parsimonious mathematical structure that unifies perception, action, and subjective experience, recasting qualia and affective states as emergent geometric properties of trajectories on the manifold. This framework offers a novel perspective on the nature of the neural code and provides a roadmap for future experimental and theoretical investigation into the physical basis of consciousness.
Yıldırım, E. (2025). General Reality Theory: A Geometric Framework for the Subjective Perception of High-Dimensional Information in Biological Systems. Zenodo. https://doi.org/10.5281/zenodo.17050356
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