Appleby Peter A, Elliott Terry
Institute for Theoretical Biology, Humboldt-Universität zu Berlin, Invalidenstrasse 43, D-10115 Berlin, Germany.
Neural Comput. 2007 May;19(5):1362-99. doi: 10.1162/neco.2007.19.5.1362.
Recently we presented a stochastic, ensemble-based model of spike-timing-dependent plasticity. In this model, single synapses do not exhibit plasticity depending on the exact timing of pre- and postsynaptic spikes, but spike-timing-dependent plasticity emerges only at the temporal or synaptic ensemble level. We showed that such a model reproduces a variety of experimental results in a natural way, without the introduction of various, ad hoc nonlinearities characteristic of some alternative models. Our previous study was restricted to an examination, analytically, of two-spike interactions, while higher-order, multispike interactions were only briefly examined numerically. Here we derive exact, analytical results for the general n-spike interaction functions in our model. Our results form the basis for a detailed examination, performed elsewhere, of the significant differences between these functions and the implications these differences have for the presence, or otherwise, of stable, competitive dynamics in our model.
最近,我们提出了一种基于随机集合的尖峰时间依赖性可塑性模型。在该模型中,单个突触不会根据突触前和突触后尖峰的确切时间表现出可塑性,而是尖峰时间依赖性可塑性仅在时间或突触集合水平上出现。我们表明,这样的模型以自然的方式再现了各种实验结果,而无需引入某些替代模型特有的各种特设非线性。我们之前的研究仅限于对双尖峰相互作用进行分析研究,而高阶多尖峰相互作用仅通过数值方法进行了简要研究。在这里,我们推导了我们模型中一般n尖峰相互作用函数的精确解析结果。我们的结果为在其他地方进行的详细研究奠定了基础,该研究探讨了这些函数之间的显著差异以及这些差异对我们模型中稳定竞争动力学的存在与否的影响。