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A detailed anatomical and mathematical model of the hippocampal formation for the generation of sharp-wave ripples and theta-nested gamma oscillations.
Journal of Computational Neuroscience ( IF 1.2 ) Pub Date : 2018-10-31 , DOI: 10.1007/s10827-018-0704-x
Amélie Aussel 1, 2 , Laure Buhry 1 , Louise Tyvaert 2, 3 , Radu Ranta 2
Affiliation  

The mechanisms underlying the broad variety of oscillatory rhythms measured in the hippocampus during the sleep-wake cycle are not yet fully understood. In this article, we propose a computational model of the hippocampal formation based on a realistic topology and synaptic connectivity, and we analyze the effect of different changes on the network, namely the variation of synaptic conductances, the variations of the CAN channel conductance and the variation of inputs. By using a detailed simulation of intracerebral recordings, we show that this is able to reproduce both the theta-nested gamma oscillations that are seen in awake brains and the sharp-wave ripple complexes measured during slow-wave sleep. The results of our simulations support the idea that the functional connectivity of the hippocampus, modulated by the sleep-wake variations in Acetylcholine concentration, is a key factor in controlling its rhythms.

中文翻译:

海马结构的详细解剖和数学模型,用于产生尖波波纹和θ嵌套的伽马振荡。

尚未完全了解在睡眠觉醒周期期间在海马中测得的各种振荡节律的潜在机制。在本文中,我们提出了一种基于实际拓扑结构和突触连通性的海马结构计算模型,并分析了网络上不同变化的影响,即突触电导的变化,CAN通道电导的变化和神经网络的变化。输入的变化。通过使用脑内记录的详细模拟,我们证明了它能够重现清醒的大脑中见到的theta嵌套伽马振荡和慢波睡眠中测得的尖波波纹复合体。我们的模拟结果支持这样的观点,即海马体的功能连接性
更新日期:2018-10-31
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