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Input correlations impede suppression of chaos and learning in balanced firing-rate networks
Fig 10
No qualitative difference in chaos suppression by common vs independent input in canonical random networks.
A) 
as a function of input frequency f (
light color, g = 2 dark color). 
has a minimum for both common and independent input. The independent input case is identical to the scenario studied in [3]. At high f, the low-pass filter effect of the leak term attenuates the external input for both cases, thus resulting in a linearly increasing 
. B) Dependence of 
on the gain parameter g for both low input frequency (f = 0.01/τ, dark color) and high input frequency (f = 0.2/τ, light color), showing a monotonic increase. Error bars indicate ±2 std. Model parameters: N = 5000, 
}, f ∈ {0.01, 0.2}/τ, I0 = J0 = 0.
doi: https://doi.org/10.1371/journal.pcbi.1010590.g010