Conventional theories assume that long-term information storage in the brain is implemented by modifying synaptic efficacy. Recent experimental findings challenge this view by demonstrating that dendritic spine sizes, or their corresponding synaptic weights, are highly volatile even in the absence of neural activity. Here, we review previous computational works on the roles of these intrinsic synaptic dynamics. We first present the possibility for neuronal networks to sustain stable performance in their presence, and we then hypothesize that intrinsic dynamics could be more than mere noise to withstand, but they may improve information processing in the brain.

传统理论假设大脑中的长期信息存储是通过修改突触功效来实现的。最近的实验结果通过证明树突棘的大小或其相应的突触权重即使在没有神经活动的情况下也高度不稳定，从而挑战了这一观点。在这里，我们回顾了以前关于这些内在突触动力学作用的计算工作。我们首先提出了神经元网络在存在时保持稳定性能的可能性，然后我们假设内在动力学可能不仅仅是要承受的噪音，但它们可能会改善大脑中的信息处理。