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Neural energy mechanism and neurodynamics of memory transformation

机译:内记忆变换的神经能量机制和神经动力学

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This study surveys the interaction between working memory and long-term memory using the neural energy coding method based on a working memory model with Ca2+ subsystem-induced bi-stability. We apply theta-burst stimulation (TBS) and high-frequency stimulation (HFS) to the bi-stable dynamical model to induce long-term memory. During studying the formation of long-term memory, we develop methods to measure the changes in energy input of these two stimuli and the corresponding energy consumption of the memory system. We investigate the minimum energy cost of these two stimuli to induce long-term memory and define an energy ratio to quantitatively describe the energy efficiency of the stimulus. We found that both stimuli induce the similar long-term effects by the dynamical model, but TBS is more energy efficient than HFS. The results provide a more comprehensive understanding in the transformation from working memory, by an energy coding approach, to long-term memory in response to the two types of long-term potentiation-induced protocols, which reflect the physiological mechanisms and neurodynamics of long-term memory generation, and also reveal the energy-efficient principle of the neural system.
机译:该研究使用基于具有CA2 +子系统诱导的双稳定性的工作存储模型的神经能量编码方法来调查工作存储器和长期存储器之间的相互作用。我们将Theta-Burst刺激(TBS)和高频刺激(HFS)应用于双稳态动态模型,以引起长期记忆。在研究长期记忆的形成期间,我们开发方法以测量这两个刺激的能量输入的变化以及存储器系统的相应能耗。我们调查这两种刺激的最小能量成本,以引起长期存储器,并定义能量比以定量描述刺激的能量效率。我们发现,两种刺激都会引起动态模型的类似的长期影响,但TBS比HFS更能节能。结果在工作记忆的转换中,通过能量编码方法对长期记忆的转化提供更全面的理解,响应于两种类型的长期增强诱导的方案,这反映了长期的生理机制和神经动力学术语记忆生成,并且还揭示了神经系统的节能原理。

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