https://doi.org/10.1140/epjs/s11734-025-01595-y
Regular Article
Network memory consolidation under adaptive rewiring
1
Moscow Institute of Physics and Technology, 117303, Moscow, Russia
2
Lobachevsky University, 606023, Nizhny Novgorod, Russia
3
Institute of Applied Physics RAS, 603950, Nizhny Novgorod, Russia
Received:
31
January
2025
Accepted:
14
March
2025
Published online:
28
March
2025
Memory consolidation in the brain involves complex processes at both synaptic and systems levels, with synaptic plasticity playing a key role in stabilizing recently encoded memories. However, the brain’s ability to forget is as crucial as its ability to remember, raising the plasticity-stability dilemma. This study explores the role of structural plasticity, specifically synaptic rewiring driven by spike-timing-dependent plasticity (STDP), in memory reliability and forgetting within spiking neural networks (SNNs). Using a computational model based on the Izhikevich spiking neuron dynamics, we investigate how STDP-driven rewiring influences the stability of memory traces under spontaneous activity. Our results demonstrate that rewiring significantly enhances memory reliability, allowing networks to retain information for extended periods compared to solely synaptic plasticity action. Noticeably, that the consolidation of memory traces induces specific changes in anatomic connectome, facilitated by rewiring during spontaneous activity. The emergence of hub neurons, capable of triggering population bursts, further supports the network’s ability to retain information. These findings suggest that rewiring, alongside synaptic plasticity, plays a crucial role in balancing learning and forgetting, offering insights into the mechanisms underlying memory consolidation in biologic neural networks.
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© The Author(s), under exclusive licence to EDP Sciences, Springer-Verlag GmbH Germany, part of Springer Nature 2025
Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
