Extended Data Fig. 2: Tuning firing thresholds of different generative networks to control the average network inter-spike-interval as recurrent weight strength is varied. | Nature Neuroscience

Extended Data Fig. 2: Tuning firing thresholds of different generative networks to control the average network inter-spike-interval as recurrent weight strength is varied.

From: Systematic errors in connectivity inferred from activity in strongly recurrent networks

Extended Data Fig. 2

a, Firing thresholds to hold the average ISI of the ring network with local and non-local synapses, and the local ring network with rectifying LNP dynamics, at 16.0 ± 0.1 ms, and that of the random, fully-connected, symmetric network at 34.0 ± 0.1 ms. b, Firing rate coefficients α (see eq. (7)) to hold the average ISI of the ring network with GLM dynamics (logarithmic link function) at 16.0 ± 0.1 ms. c, Firing thresholds to hold the average ISI of the sparse, non-symmetric random network at 16.0 ± 0.1 ms.

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