Fig. 32
From: 25th Annual Computational Neuroscience Meeting: CNS-2016
A Schematic illustrations of the two balanced QIF networks models considered in the present study. The left network consists of strongly coupled neurons without noise, while the right network consists of weak coupling among neurons with noisy input. B Nearly identical rate autocorrelation functions in the two networks. The red line (C 0) represents the value of the autocorrelation at time 0 and cyan line (C ∞) is the value of auto-correlation function in the limit of large t. C Change in spiking probability for different network connectivity strengths \( (\tilde{g}), \) after being stimulated by a brief input at time t = 0