Consciousness Dynamics and the Fragmentation of Lived Time in Algorithmic Systems

This study proposes a dynamic modeling of consciousness that integrates neuronal capacity, psychic sensitivity, and exogenous perturbations within a unified functional framework. The model explores how external algorithmic environments may induce micro-resets in cognitive processes, altering the subjective continuity of experience without immediately erasing the total structure of memory. These micro-disruptions generate measurable oscillations in conscious experience and contribute to a progressive fragmentation of lived time. By introducing a quantifiable approach to these dynamics, the model establishes a conceptual bridge between neuroscience, cognitive science, and philosophy. It provides a theoretical framework for understanding how contemporary algorithmic systems may influence the stability of personal experience and the continuity of the self. At the same time, the proposed model opens potential pathways for experimental investigation and clinical applications related to attention, memory stability, and cognitive resilience. This work originally exists in French as the primary version of the study. The present text is a translation intended to make the complete research accessible to a broader international audience while preserving the conceptual structure of the original work.