It looks super interesting. Unfortunately, I don't have access to it. May you send me the manuscript copy? Thank you in advance
January 31, 2025 at 9:22 PM
It looks super interesting. Unfortunately, I don't have access to it. May you send me the manuscript copy? Thank you in advance
December 20, 2024 at 9:18 PM
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.
December 20, 2024 at 9:17 PM
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.
December 20, 2024 at 9:17 PM
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...
Segregation-to-Integration Transformation (SIT) Model of Memory Evolution
bioRxiv - the preprint server for biology, operated by Cold Spring Harbor Laboratory, a research and educational institution
www.biorxiv.org
January 30, 2024 at 3:42 PM
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.
January 30, 2024 at 3:41 PM
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.