An Interactive Character-Encoding Brain–Computer Paradigm Based on Dichoptic Visual Illusion and Dynamic Graphic Construction

Abstract

In the classic science-fiction film The Fifth Element (1997), an impressive visual-symbolic cognitive-loading device appears: through a high-density, structured, and dynamically reorganized stream of visual symbols, the protagonist accomplishes the cognitive reconstruction of an unfamiliar knowledge system within an extremely short time. This fictional scenario points to a profound question in cognitive engineering: can symbols be written directly into the brain, bypassing the conventional “view-then-memorize” pathway, through the active reshaping of visual structure? Conventional steady-state visual evoked potential (SSVEP)-based brain–computer interaction paradigms rely on fixed-frequency screen flicker and take passive visual recognition as their core logic, suffering from inherent limitations such as shallow cognitive processing, weak information retention, and a single encoding dimension. Inspired by the cognitive-loading scenario in The Fifth Element, this study proposes a novel interactive character-encoding framework based on dichoptic differential visual-channel isolation and the active construction of dynamic graphics. Drawing on the neuroplasticity principle of visual aftereffects—the classical phenomenon in which the visual cortex remains active after the removal of visual stimulation—the proposed paradigm requires participants to actively synthesize target letter configurations by manually rotating, arranging, and assembling standardized block units. Its core neural logic lies in upgrading conventional single-dimensional frequency recognition into multidimensional spatial-topological encoding through a closed-loop interaction of “manual operation–visual fusion–cognitive verification,” and in exploiting the brain’s endogenous delayed-afterimage mechanism to transform character information from external physical stimulation into reproducible hallucinatory imprints within the brain, thereby achieving deep internalization of symbolic cognition. This paper fully discloses the physical-layer isolation architecture, cognitive-layer construction logic, and hallucination-consolidation mechanism of the paradigm, and explicitly points out that the framework still faces open engineering challenges in areas such as visual tolerance, signal decoupling, and individual threshold calibration. The paradigm is intended to provide a disruptive theoretical foundation and an iterable basic-research framework for a new generation of cognitive-implantation brain–comp

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