Decoupling through synchrony in neuronal circuits with propagation delays
Decoupling through synchrony in neuronal circuits with propagation delays
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DOI：
10.1016/j.neuron.2008.01.036
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发表时间：
2008-04-10
期刊：
影响因子：
16.2
通讯作者：
Siapas, Athanassios G.
中科院分区：
文献类型：
--
作者：
Lubenov, Evgueniy V.;Siapas, Athanassios G.
分布式系统中的同步级别通常由各个元素之间的交互强度控制。在脑回路中，神经元之间的连接强度在尖峰时间依赖可塑性（STDP）规则的影响下被修改。在这里，我们表明，当具有传导延迟的经常性网络表现出人口爆发，STDP规则施加了强大的解耦力，使活动的非对称性。相反，当网络中的活动是随机的时，相同的规则可以具有耦合和同步的影响。这些相反力量的存在促进了自发活动神经元网络的自组织，使其处于随机性和同步性之间的边界。STDP的解耦力可能与慢波睡眠期间海马体中发生的同步爆发有关，导致在新皮层区域建立记忆时选择性擦除海马体回路中的信息。
The level of synchronization in distributed systems is often controlled by the strength of the interactions between individual elements. In brain circuits the connection strengths between neurons are modified under the influence of spike-timing-dependent plasticity (STDP) rules. Here we show that when recurrent networks with conduction delays exhibit population bursts, STDP rules exert a strong decoupling force that desynchronizes activity. Conversely, when activity in the network is random, the same rules can have a coupling and synchronizing influence. The presence of these opposing forces promotes the self-organization of spontaneously active neuronal networks to a state at the border between randomness and synchrony. The decoupling force of STDP may be engaged by the synchronous bursts occurring in the hippocampus during slow-wave sleep, leading to the selective erasure of information from hippocampal circuits as memories are established in neocortical areas.