The Fractal Architecture of Memory: A Recursive Topological Model of Dimensional Ascension in High-Level Cognition

The Fractal Architecture of Memory: A Recursive Topological Model of Dimensional Ascension in High-Level Cognition | Zenodo Skip to main Communities My dashboard Log in Sign up Zenodo is currently experiencing slowness and intermittent outages due to heavy automated traffic from bots and AI crawlers. We are aware of the problem, and our team is focused on stabilizing the service. Thank you for your patience. Published May 7, 2026 | Version v1 Preprint Open The Fractal Architecture of Memory: A Recursive Topological Model of Dimensional Ascension in High-Level Cognition Authors/Creators HyeongWoo, Kim Description The mechanism by which human cognition transitions from the processing of fragmented sensory data to the formation of cohesive abstract concepts remains a central enigma in cognitive science. This study proposes the Hierarchical Cognitive Restructuring (HCR) framework, which characterizes memory not as a static repos itory, but as a recursive topological network striving for essential abstraction under metabolic constraints. We mathematically formalize ’Dimensional Ascension’—a spontaneous phase transition where a system compresses lower-dimensional informa tion clusters into higher-order nodes to mitigate the exponential growth of relational complexity (O(n2)). By integrating stochastic thresholds (θ), arousal-dependent noise (σ), and a cognitive flexibility coefficient (λ), we redefine genius-level insight as a strategic meta-energy optimization process. Our simulation results demonstrate that abstraction is an evolutionary imperative, providing a unified theoretical foun dation for phenomena ranging from Miller’s Law to the Expertise Reversal Effect Files The_Fractal_Architecture_of_Memory__A_Recursive_Topological_Model_of_Dimensional_Ascension_in_High_Level_Cognition.pdf Files (345.9 kB) Name Size Download all The_Fractal_Architecture_of_Memory__A_Recursive_Topological_Model_of_Dimensional_Ascension_in_High_Level_Cognition.pdf md5:0cf48616932d07357915cc15880ee1fe 345.9 kB Preview Download Additional details Dates Created 2026-05-07 30 Views 27 Downloads Show more details All versions This version Views Total views 30 30 Downloads Total downloads 27 27 Data volume Total data volume 9.3 MB 9.3 MB More info on how stats are collected.... Versions External resources Indexed in OpenAIRE Communities Keywords and subjects MeSH Cognition Details DOI DOI Badge DOI 10.5281/zenodo.20065088 Markdown [](https://doi.org/10.5281/zenodo.20065088) reStructuredText .. image:: https://zenodo.org/badge/DOI/10.5281/zenodo.20065088.svg :target: https://doi.org/10.5281/zenodo.20065088 HTML <a href="https://doi.org/10.5281/zenodo.20065088"><img src="https://zenodo.org/badge/DOI/10.5281/zenodo.20065088.svg" alt="DOI"></a> Image URL https://zenodo.org/badge/DOI/10.5281/zenodo.20065088.svg Target URL https://doi.org/10.5281/zenodo.20065088 Resource type Preprint Publisher Zenodo Rights License Creative Commons Attribution 4.0 International The Creative Commons Attribution license allows re-distribution and re-use of a licensed work on the condition that the creator is appropriately credited. Read more Citation Export Technical metadata Created May 7, 2026 Modified May 7, 2026 Jump up About About Policies Infrastructure Principles Projects Roadmap Contact Blog Blog Support Help FAQ Developers REST API OAI-PMH Contribute GitHub Donate Funded by Powered by CERN Data Centre & InvenioRDM Status Privacy policy Cookie policy Terms of Use This site uses cookies. Find out more on how we use cookies Accept all cookies Accept only essential cookies

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