Perceptual Potentiality and Cognitive Stabilization: A Unified Structural Model of Perception, Imagination, and Identity Formation

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Authors: David (Daoud) Matta
Cited by: 0

Abstract

Perception has traditionally been understood as the encoding of sensory input, producing internal representations corresponding to external stimuli. This paper proposes a structural reconceptualization of perception as the initiation of a persistent field of representational potentialities extending beyond immediate sensory presence. Within this field, mental imagery, imagination, dreaming, associative embedding, and identity integration represent progressively less externally constrained and more internally stabilized transformations of perceptual representation. The Perceptual Potentiality and Cognitive Stabilization (PPCS) model is introduced to formalize this continuum and to identify the creative drive, attention, and contextual constraint as the mechanisms governing transition and stabilization within this generative architecture. Extending phenomenological accounts of perceptual horizons (Husserl, 1931; Merleau-Ponty, 1945/2012), predictive processing accounts of generative cognition (Clark, 2016; Friston, 2010), and enactivist perspectives on participatory sense-making (Thompson, 2007), the PPCS model provides a unified framework connecting perception, imagination, cognition, and identity formation. A candidate neurobiological mapping is proposed in which dopaminergic systems support generative expansion, cholinergic systems support attentional stabilization, and noradrenergic systems modulate contextual precision across the continuum. Cognition is thereby reconceptualized not as the mere reception or generation of representations, but as the creative transformation and selective stabilization of representations within a structured field of perceptual potentialities.

Fields of Study & Subjects

Embodied and Extended Cognition Philosophy and Theoretical Science Phenomenology and Existential Philosophy

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
16 February 2026
Language
EN
Document type
Preprint