首页> 外文会议>International Conference on Artificial Neural Networks;ICANN 2008 >Auto-structure of Presynaptic Activity Defines Postsynaptic Firing Statistics and Can Modulate STDP-Based Structure Formation and Learning
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Auto-structure of Presynaptic Activity Defines Postsynaptic Firing Statistics and Can Modulate STDP-Based Structure Formation and Learning

机译:突触前活动的自动结构定义了突触后的放电统计,并可以调节基于STDP的结构形成和学习

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In this paper we study the impact of presynaptic activity that is deviating from Poissonian firing onto the postsynaptic firing of a conductance based integrate and fire neuron. We first show that the compound activity of a large group of neurons, e.g. presynaptic cells, cannot be described by a Poisson process in general. Then we demonstrate that the auto-structure of the presynaptic drive has strong impact onto the auto-structure of the postsynaptic spike-train. And finally, we discuss the potential impact of non-Poissonian presynaptic activity on the structure formation in recurrent networks based on Spike Timing Dependent Plasticity (STDP).
机译:在本文中,我们研究了偏离泊松放电的突触前活动对基于电导的整合和放电神经元的突触后放电的影响。我们首先证明了一大组神经元的复合活性,例如神经元。突触前细胞一般不能用泊松过程来描述。然后,我们证明突触前驱动器的自动结构对突触后突波训练的自动结构有很强的影响。最后,我们讨论了基于穗定时依赖可塑性(STDP)的非泊松突触前突触活动对循环网络中结构形成的潜在影响。

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