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Non-monotonic relationship between correlation and strength of inhibitory feedback

机译:相关性与抑制反馈强度之间的非单调关系

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Correlative activities of neurons are ascribed to inhibitory connections in previous literatures. It is believed that correlative activities of neurons increase with enhancing the strength of the inhibitory connection. However, we find a nonmonotonic relationship between the correlation and the strength of inhibitory feedback. The neural network in the present paper consists of excitatory and inhibitory neurons with global inhibitory feedback. By numerical simulations, we caimiate the relationship among correlation coefficient, firing rate and inhibitorv feedbook.we find that when the stimuli are weak, the correlation increases monotonously with enhancement of the inhibitory feedback. While the stimuli are strong, the correlation first drops with weak inhibition, then rises after the inhibitory feedback gain exceeds a threshold.
机译:在先前的文献中,神经元的相关活性归因于抑制性连接。相信神经元的相关活性随着抑制连接强度的增加而增加。但是,我们发现相关性与抑制反馈强度之间存在非单调关系。本文中的神经网络由具有全局抑制反馈的兴奋性和抑制性神经元组成。通过数值模拟,简化了相关系数,点火率和抑制剂给料量之间的关系。我们发现,当刺激力较弱时,相关性随抑制反馈的增强而单调增加。当刺激很强时,相关性首先随着弱抑制而下降,然后在抑制性反馈增益超过阈值后上升。

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