47 Hu, Xin Khanzada, Shahrukh Emery, Brett Addison Amin, Hayder AG Amin A Computational Framework for Learning and Memory: Network Motif Evolution During LTP-Induced Plasticity. 2025 47th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) : [Proceedings] - IEEE, 2025. - ISBN 979-8-3315-8618-8 - doi:10.1109/EMBC58623.2025.11254218 47th Annual International Conference of the IEEE Engineering in Medicine and Biology Society IEEE Copenhagen, Denmark 10.1109/EMBC58623.2025.11254218 English 1-4 Unraveling the complexity of network-level synaptic plasticity remains a challenge due to the dynamic and interconnected nature of neural circuits. In this study, we employ network motifs-recurrent, functionally specialized patterns of connectivity-as a framework to dissect long-term potentiation (LTP)-induced reorganization in hippocampal CA1-CA3 networks. Using network LTP recordings from highdensity microelectrode arrays (HD-MEA), we systematically tracked motif evolution before and after high-frequency stimulation, assessing their roles in network stability, synaptic strength modulation, and criticality-redundancy trade-offs, linking these dynamics to firing synchrony and network potentiation. The Graph-theoretic analysis further demonstrated that LTP-induced reorganization follows a structured motif-guided trajectory, with early-phase motif recruitment optimizing efficiency, followed by phase-dependent refinement. These findings provide new insights into how structured connectivity enables network-level plasticity, balancing efficiency with stability, and offer a potential framework for understanding memory encoding mechanisms and their dysfunction in neurological disorders. Missing Journal: Annu Int Conf IEEE Eng Med Biol Soc = 2375-7477 (import from CrossRef Conference, PubMed, , Journals: pub.dzne.de) ; 2025 47th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) : [Proceedings] - IEEE, 2025. - ISBN 979-8-3315-8618-8 - doi:10.1109/EMBC58623.2025.11254218 ; Long-Term Potentiation: physiology Animals Memory: physiology Neuronal Plasticity: physiology Learning: physiology Models, Neurological Rats Nerve Net: physiology Contribution to a conference proceedings 2025 2025-07-14 - 2025-07-18 DZNE-2026-00343 2025-07-14 - 2025-07-18 2025 pmid:41336996 https://pub.dzne.de/record/285807 https://doi.org/10.1109/EMBC58623.2025.11254218