Sleep-Dependent Memory Consolidation: Integrating Behavioral Evidence and Computational Modeling within ACT-R and CLS Frameworks

Sleep-Dependent Memory Consolidation: Integrating Behavioral Evidence and Computational Modeling within ACT-R and CLS Frameworks | Authorea try { document.documentElement.classList.add('js'); } catch (e) { } var _gaq = _gaq || []; _gaq.push(['_setAccount', 'G-8VDV14Y67G']); _gaq.push(['_trackPageview']); (function() { var ga = document.createElement('script'); ga.type = 'text/javascript'; ga.async = true; ga.src = ('https:' == document.location.protocol ? 'https://ssl' : 'http://www') + '.google-analytics.com/ga.js'; var s = document.getElementsByTagName('script')[0]; s.parentNode.insertBefore(ga, s); })(); Skip to main content Preprints Collections Wiley Open Research IET Open Research Ecological Society of Japan All Collections About About Authorea FAQs Contact Us Quick Search anywhere Search for preprint articles, keywords, etc. Search Search ADVANCED SEARCH SCROLL This is a preprint and has not been peer reviewed. Data may be preliminary. 7 November 2025 V1 Latest version Share on Sleep-Dependent Memory Consolidation: Integrating Behavioral Evidence and Computational Modeling within ACT-R and CLS Frameworks Author : Majid Karimi Baghmaleki 0000-0002-3961-059X [email protected] Authors Info & Affiliations https://doi.org/10.22541/au.176253026.69324640/v1 246 views 117 downloads Contents Abstract Supplementary Material Information & Authors Metrics & Citations View Options References Figures Tables Media Share Abstract Sleep plays a pivotal role in the stabilization and enhancement of human memory. The present study investigates sleep-dependent memory consolidation through an integrative approach combining empirical behavioral data and computational modeling. Forty healthy adults participated in controlled sleep-wake experiments, performing declarative and procedural memory tasks before and after 12-hour retention intervals. Behavioral results indicated significant improvements in recall and task performance following sleep, correlated with slowwave activity and spindle density. Computational simulations using ACT-R and Complementary Learning Systems (CLS) frameworks replicated these effects, highlighting mechanisms of symbolic reactivation and distributed neural consolidation. The convergence of empirical and computational findings supports a hybrid model of cognition wherein wakeful encoding and sleep-driven integration jointly sustain long-term learning. These results have implications for educational strategies, cognitive rehabilitation, and the development of biologically inspired artificial intelligence. Supplementary Material File (taken from the 2011 doctoral dissertation(article).pdf) Download 333.28 KB Information & Authors Information Version history V1 Version 1 07 November 2025 Copyright This work is licensed under a Creative Commons Attribution 4.0 International License Keywords act-r cls cognitive modeling declarative memory memory consolidation procedural learning sleep Authors Affiliations Majid Karimi Baghmaleki 0000-0002-3961-059X [email protected] View all articles by this author Metrics & Citations Metrics Article Usage 246 views 117 downloads .FvxKWukQNSOunydq8rnd { width: 100px; } Citations Download citation Majid Karimi Baghmaleki. Sleep-Dependent Memory Consolidation: Integrating Behavioral Evidence and Computational Modeling within ACT-R and CLS Frameworks. Authorea . 07 November 2025. DOI: https://doi.org/10.22541/au.176253026.69324640/v1 If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. 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