How single neuron properties shape chaotic dynamics and signal transmission in random neural networks
Fig 8
Two examples of multi-dimensional rate models.
Parameters defining both models can be found in Table 1. a-b-c: Analysis of a three-dimensional rate model. Eigenvalue spectra (a) corresponding to the coupling values g1 = 1.28, g2 = 1.4 and g3 = 2. The dashed line indicates the imaginary axis. In b we plot the linear response function of the single unit (solid line), and the instability threshold corresponding to the three coupling values g1, g2 and g3 (dashed lines). In c we plot the solution of the mean field theory obtained with the iterative method for the three values of g, g1 = 1.5, g2 = 2 and g3 = 3. d-e-f: Same as a,b,c, but for a four-dimensional rate model.