Extended Data Fig. 10: Recurrent network response to external inputs before and after learning with different EI balance set-points. | Nature Neuroscience

Extended Data Fig. 10: Recurrent network response to external inputs before and after learning with different EI balance set-points.

From: Co-dependent excitatory and inhibitory plasticity accounts for quick, stable and long-lasting memories in biological networks

Extended Data Fig. 10

a, Dynamics of the naïve network (before learning). Norm, i.e., ℓ2-norm of the firing-rate deviations from baseline (left), and average firing-rate (right) of excitatory neurons for the five stimulation patterns. Dynamics used in Fig. 8c,d (‘before’). b, Same as panel a, but for the naïve network (before learning) without background input (baseline firing-rate is zero for all neurons). c, Same as panels a and b, but for a network after learning with α = 0.9. d, Same as panels a and b, but for a network after learning with α = 1.4.

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