TL;DR
This paper presents a computational model demonstrating how coupled feedback loops involving PKMzeta and AMPA receptor trafficking can produce the stability necessary for long-term synaptic potentiation, explaining persistent neural memory.
Contribution
The model introduces a novel coupled feedback loop mechanism that explains the stability of long-term potentiation through molecular interactions involving PKMzeta and AMPA receptors.
Findings
The model exhibits robust bistability in synaptic states.
It accounts for empirical data on LTP induction and maintenance.
It explains effects of pharmaceutical interventions on synaptic stability.
Abstract
In long-term potentiation (LTP), one of the most studied types of neural plasticity, synaptic strength is persistently increased in response to stimulation. Although a number of different proteins have been implicated in the sub-cellular molecular processes underlying induction and maintenance of LTP, the precise mechanisms remain unknown. A particular challenge is to demonstrate that a proposed molecular mechanism can provide the level of stability needed to maintain memories for months or longer, in spite of the fact that many of the participating molecules have much shorter life spans. Here we present a computational model that combines simulations of several biochemical reactions that have been suggested in the LTP literature and show that the resulting system does exhibit the required stability. At the core of the model are two interlinked feedback loops of molecular reactions, one…
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