论文标题

带有传输延迟的塑料神经网络促进了功能和结构之间的等效性

Plastic neural network with transmission delays promotes equivalence between function and structure

论文作者

Protachevicz, P. R., Borges, F. S., Batista, A. M., Baptista, M. S., Caldas, I. L., Macau, E. E. N., Lameu, E. L.

论文摘要

大脑由与不同认知功能相关的皮质区域形成。与不同区域的神经元相比,同一区域内的神经元更有可能连接,从而使大脑网络具有子网网络的特征。不同子网的神经元之间的突触延迟值大于相同子网的值。神经元之间的通信时间差异对在大脑中观察到的发射模式产生了影响,这与神经连通性的变化直接相关,称为突触可塑性。在这项工作中,我们构建了Hodgkin-Huxley神经元的塑料网络,其中连通性修改遵循峰值时间依赖性规则。我们定义了在同一子网中通信的神经元之间的内部延迟,这是属于不同子网络的神经元的外部延迟,并研究这些通信延迟如何影响整个网络动态。我们观察到,神经元网络为每个同步模式表现出特定的连接配置。我们的结果表明,突触延迟和可塑性如何共同促进神经元子网中结构耦合的形成。我们得出的结论是,塑性神经元网络能够促进功能和结构之间的等效性,这意味着拓扑从拓扑中出现的拓扑结构出现,创造了一个复杂的动力学过程,在该过程中拓扑适应塑料规则和触发模式反映了突触权重的变化。

The brain is formed by cortical regions that are associated with different cognitive functions. Neurons within the same region are more likely to connect than neurons in distinct regions, making the brain network to have characteristics of a network of subnetworks. The values of synaptic delays between neurons of different subnetworks are greater than those of the same subnetworks. This difference in communication time between neurons has consequences on the firing patterns observed in the brain, which is directly related to changes in neural connectivity, known as synaptic plasticity. In this work, we build a plastic network of Hodgkin-Huxley neurons in which the connectivity modifications follow a spike-time dependent rule. We define an internal-delay among neurons communicating within the same subnetwork, an external-delay for neurons belonging to distinct subnetworks, and study how these communicating delays affect the entire network dynamics. We observe that the neuronal network exhibits a specific connectivity configuration for each synchronised pattern. Our results show how synaptic delays and plasticity work together to promote the formation of structural coupling among the neuronal subnetworks. We conclude that plastic neuronal networks are able to promote equivalence between function and structure meaning that topology emerges from behaviour and behaviour emerges from topology, creating a complex dynamical process where topology adapts to conform with the plastic rules and firing patterns reflect the changes on the synaptic weights.

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