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Fig. 5 | The Journal of Mathematical Neuroscience

Fig. 5

From: Investigating the Correlation–Firing Rate Relationship in Heterogeneous Recurrent Networks

Fig. 5

Using a single number to predict \(d\hat{S}/dF\). (A) Paths through parameter space for the asynchronous network: white shows the part of the x-plane where \(\frac{d\hat{S}}{dF} = \frac{\nabla \hat{S} \cdot d\mathbf {x}}{\nabla F \cdot d\mathbf {x}} > 0\), black where \(\frac{d\hat{S}}{dF}<0\), where Ŝ and F are computed at the center of the diagram. (B) Correlation susceptibility vs. firing rate, for each path illustrated in (A). (C)–(D) As in (A)–(B), but for the strong asynchronous network

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