Cai Yidao, Gavornik Jeffrey P, Cooper Leon N, Yeung Luk C, Shouval Harel Z
Department of Neurobiology and Anatomy, The University of Texas Medical School, Houston, TX 77030, USA.
J Neurophysiol. 2007 Jan;97(1):375-86. doi: 10.1152/jn.00895.2006. Epub 2006 Oct 11.
Various forms of synaptic plasticity, including spike timing-dependent plasticity, can be accounted for by calcium-dependent models of synaptic plasticity. However, recent results in which synaptic plasticity is induced by multi-spike protocols cannot simply be accounted for by linear superposition of plasticity due to spike pairs or by existing calcium-dependent models. In this paper, we show that multi-spike protocols can be accounted for if, in addition to the dynamics of back-propagating action potentials, stochastic synaptic dynamics are taken into account. We show that a stochastic implementation can account for the data better than a deterministic implementation and is also more robust. Our results demonstrate that differences between experimental results obtained in hippocampus and visual cortex can be accounted for by the different synaptic and dendritic dynamics in these two systems.
包括尖峰时间依赖性可塑性在内的各种形式的突触可塑性，可以用突触可塑性的钙依赖性模型来解释。然而，最近通过多峰协议诱导突触可塑性的结果，不能简单地通过尖峰对引起的可塑性的线性叠加或现有的钙依赖性模型来解释。在本文中，我们表明，如果除了反向传播动作电位的动力学之外，还考虑随机突触动力学，那么多峰协议就可以得到解释。我们表明，随机实现比确定性实现能更好地解释数据，并且也更稳健。我们的结果表明，在海马体和视觉皮层中获得的实验结果之间的差异，可以通过这两个系统中不同的突触和树突动力学来解释。
