Local cortical circuit model inferred from power-law distributed neuronal avalanches
Local cortical circuit model inferred from power-law distributed neuronal avalanches
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DOI：
10.1007/s10827-006-0014-6
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发表时间：
2007-01
影响因子：
1.2
通讯作者：
Jun-nosuke Teramae;T. Fukai
中科院分区：
文献类型：
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作者：
Jun-nosuke Teramae;T. Fukai
皮层神经元如何处理信息关键取决于其局部回路的组织方式。通过新皮质切片传播的自发同步神经元活动显示出高度多样化但可重复的活动模式，称为“神经元雪崩”。它们服从事件大小和生命周期的幂律分布，大概反映了切片文化中发展的局部电路的结构。然而，幂律统计背后的显式网络结构仍不清楚。在这里，我们提出了锥体神经元和抑制性神经元的神经元网络模型，该模型能够稳定传播雪崩样尖峰活动。我们展示了一种神经元接线规则，该规则控制着该网络发育过程中相互重叠的细胞组件的形成。由此产生的网络包含前馈链和循环电路的混合，其中如果前一种结构占主导地位，则神经元雪崩是稳定的。有趣的是，这种接线规则形成的循环突触连接限制了可嵌入给定大小的神经元池中的细胞组件的数量。我们研究了由此产生的幂律如何取决于细胞组装形成的细节以及抑制反馈。我们的模型表明，局部皮质回路可能具有比之前想象的更复杂的拓扑设计。
How cortical neurons process information crucially depends on how their local circuits are organized. Spontaneous synchronous neuronal activity propagating through neocortical slices displays highly diverse, yet repeatable, activity patterns called “neuronal avalanches”. They obey power-law distributions of the event sizes and lifetimes, presumably reflecting the structure of local circuits developed in slice cultures. However, the explicit network structure underlying the power-law statistics remains unclear. Here, we present a neuronal network model of pyramidal and inhibitory neurons that enables stable propagation of avalanche-like spiking activity. We demonstrate a neuronal wiring rule that governs the formation of mutually overlapping cell assemblies during the development of this network. The resultant network comprises a mixture of feedforward chains and recurrent circuits, in which neuronal avalanches are stable if the former structure is predominant. Interestingly, the recurrent synaptic connections formed by this wiring rule limit the number of cell assemblies embeddable in a neuron pool of given size. We investigate how the resultant power laws depend on the details of the cell-assembly formation as well as on the inhibitory feedback. Our model suggests that local cortical circuits may have a more complex topological design than has previously been thought.