1/2 Just like social groups, human memory is organized in interconnected patterns. Activating one memory can trigger related ones, similar to how information spreads through a community. Could social sharing shape how memories are formed?
It describes an optimal time window, shortly after memory formation, that enables substantial structural adjustments. With repeated reactivations, the network stabilizes, enhancing resistance to change and safeguarding essential information.
The Segregation-to-Integration Transformation (SIT) model proposes a framework for memory transformation via neural network changes. Memories shift from highly modular to less modular forms over time, guided by neural reactivations and plasticity rules.
The model pinpoints a specific timeframe during which memories exhibit the highest susceptibility to change. Preprint here: www.biorxiv.org/content/10.1...
The SIT model provides a theoretical framework for understanding the evolution of memories over time. SIT shows that memories transition from segregated to intricately integrated network structures, reflecting the dynamic aspect of memory evolution.
