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High-conductance states in a mean-field cortical network model

机译:平均场皮质网络模型中的高电导态

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Measured responses from visual cortical neurons show that spike times tend to be correlated rather than exactly Poisson distributed. Fano factors vary and are usually greater than 1, indicating a tendency toward spikes being clustered. We show that this behavior emerges naturally in a balanced cortical network model with random connectivity and conductance-based synapses. We employ mean-field theory with correctly colored noise to describe temporal correlations in the neuronal activity. Our results illuminate the connection between two independent experimental findings: high-conductance states of cortical neurons in their natural environment, and variable non-Poissonian spike statistics with Fano factors greater than 1.
机译:视觉皮层神经元的测量响应表明,峰值时间倾向于相关,而不是泊松分布。范诺因子有所不同,通常大于1,这表明尖峰趋于聚集。我们表明,这种行为自然出现在具有随机连通性和基于电导的突触的平衡皮质网络模型中。我们采用具有正确着色噪声的均值场理论来描述神经元活动中的时间相关性。我们的结果阐明了两个独立实验发现之间的联系:自然环境中皮质神经元的高电导状态,以及Fano因子大于1的可变非泊松峰值统计量。

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