论文标题
从抑制性神经元的异质性中得出的最佳反应性和集体振荡
Optimal responsiveness and collective oscillations emerging from the heterogeneity of inhibitory neurons
论文作者
论文摘要
大脑的特征是抑制性神经元的强异质性。我们报告说，尖峰神经网络表现出与抑制性神经元异质性的共鸣，对于异质性水平的最佳输入/输出响应性与在大脑皮层中发现的异质性水平相似。异质平均场模型预测了这种最佳响应能力。此外，我们表明，在等效均匀系统中不存在的异质性（例如稀疏同步集体振荡）中出现了新的动力学状态。
The brain is characterized by a strong heterogeneity of inhibitory neurons. We report that spiking neural networks display a resonance to the heterogeneity of inhibitory neurons, with optimal input/output responsiveness occurring for levels of heterogeneity similar to that found experimentally in cerebral cortex. A heterogeneous mean-field model predicts such optimal responsiveness. Moreover, we show that new dynamical regimes emerge from heterogeneity that were not present in the equivalent homogeneous system, such as sparsely synchronous collective oscillations.
