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首页> 外文期刊>PLoS Computational Biology >From space to time Spatial inhomogeneities lead to the emergence of spatiotemporal sequences in spiking neuronal networks
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From space to time Spatial inhomogeneities lead to the emergence of spatiotemporal sequences in spiking neuronal networks

机译:从时空到时空空间异质性导致尖峰神经网络中时空序列的出现

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Here we propose a biologically plausible mechanism to generate temporal sequences of neuronal activity in network of spiking neurons. We show that neuronal networks exhibit temporal sequences of activity when (1) neurons do not connect in all directions with equal probability (asymmetry), and (2) neighboring neurons have similar connection preference (spatial correlations). This mechanism precludes supervised learning or manual wiring to generate network connectivity to produce temporal sequences. Connection asymmetry is consistent with the experimental findings that axonal and dendritic arbors are spatially asymmetric. We predict that networks exhibiting temporal sequences of neuronal activity should have spatially asymmetric but correlated connectivity. Finally, we argue how neuromodulators can play a role in rapid switching among different temporal sequences.
机译:在这里,我们提出了一种生物学上可行的机制,以在尖峰神经元的网络中生成神经元活动的时间序列。我们显示,当(1)神经元未以相等的概率(不对称)在所有方向上连接,并且(2)相邻神经元具有相似的连接偏好(空间相关性)时,神经元网络展示出活动的时间序列。这种机制排除了有监督的学习或手动接线以生成网络连接以生成时间序列的情况。连接不对称与轴突和树突状乔木在空间上不对称的实验结果一致。我们预测,展示神经元活动的时间序列的网络应该具有空间不对称但相关的连通性。最后,我们争论了神经调节剂如何在不同时间序列之间的快速切换中发挥作用。

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