Non-monotonic relationship between correlation and strength of inhibitory feedback

摘要：

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.

关键词： correlation coefficient inhibitory feedback firing rate

作者: Jinli XIE Zhijie WANG Haibo SHI

作者单位: College of Information Science and Technology,Donghua University,Shanghai 201620,China

会议类型: 国际会议

会议名称: The Third International Conference on Modelling and Simulation(第三届国际建模、计算、仿真、优化及其应用学术会议 ICMS 2010)

会议地点: 无锡

会议语种:英文

页码: 83-87

在线出版日期: 2010-06-04（万方平台首次上网日期，不代表论文的发表时间）