Estimation of neural network model parameters from local field potentials (LFPs)
Fig 12
Robustness of estimates with shifts of model parameters in test data.
A–C, estimation errors for η, g, and J, respectively, when the synaptic time delay td is shifted when generating test data LFPs. td = 1.5 ms is used when generating training data. Result for the average estimation errors across both the full parameter space and the restricted AI parameter spaces are shown. D–F, same as A–C when the neuron membrane time constant τm instead is different than the value τm = 20 ms used for generating training data. The vertical bars indicate the x-value used for generating the training data. G–I, same as A–C when the neuronal firing threshold θ instead is different from the value θ = 20 mV used for generating training data. J–L, same as A–C when the refractory period tref instead is different from the value tref = 2.0 ms used for generating training data.