From space to time: Spatial inhomogeneities lead to the emergence of spatiotemporal sequences in spiking neuronal networks

From space to time: Spatial inhomogeneities lead to the emergence of spatiotemporal sequences in spiking neuronal networks
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从空间到时间:空间不均匀性导致尖峰神经元网络中时空序列的出现

DOI:
10.1371/journal.pcbi.1007432
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发表时间:
2019
影响因子:
4.3
通讯作者:
Arvind Kumar
Arvind Kumar
中科院分区:
生物学2区
文献类型:
--
作者:
Sebastian Spreizer;A. Aertsen;Arvind Kumar

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神经元活动的时空序列在各种任务的许多大脑区域中被观察到,并被认为是有意义行为的基础。然而,神经元网络产生时空活动序列的机制仍然不清楚。现有的模型在生物学上是站不住脚的,因为它们要么需要在随机网络中手动嵌入前馈网络,要么需要监督学习来训练网络的连通性以生成序列。在这里,我们提出了一个生物学上合理的,生成的规则来创建时空活动序列的尖峰神经元网络与距离相关的连接。我们发现,时空活动序列的出现需要:(1)单个神经元优先将其轴突的一小部分投射到特定方向,(2)相邻神经元的优先投射方向相似。因此,神经元组的各向异性但相关的连接性足以在其他随机神经元网络模型中生成时空活动序列。
Spatio-temporal sequences of neuronal activity are observed in many brain regions in a variety of tasks and are thought to form the basis of meaningful behavior. However, mechanisms by which a neuronal network can generate spatio-temporal activity sequences have remained obscure. Existing models are biologically untenable because they either require manual embedding of a feedforward network within a random network or supervised learning to train the connectivity of a network to generate sequences. Here, we propose a biologically plausible, generative rule to create spatio-temporal activity sequences in a network of spiking neurons with distance-dependent connectivity. We show that the emergence of spatio-temporal activity sequences requires: (1) individual neurons preferentially project a small fraction of their axons in a specific direction, and (2) the preferential projection direction of neighboring neurons is similar. Thus, an anisotropic but correlated connectivity of neuron groups suffices to generate spatio-temporal activity sequences in an otherwise random neuronal network model.
尖峰神经网络中波列的条件
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