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Fig. 7 | The Journal of Mathematical Neuroscience

Fig. 7

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

Fig. 7

Firing rate vs. susceptibility (Ŝ), computed for a family of networks generated by modulating the strength of excitation (\(W_{EE}\) and \(W_{IE}\)). (A) Background noise values \(\sigma_{E}\), \(\sigma_{I}\) set as in the asynchronous network from [4]. (B) Background noise values \(\sigma_{E}\), \(\sigma _{I}\) set as in the strong asynchronous network from [4]. Sixteen curves are chosen, for a survey of the range of networks achievable by varying strength of recurrent excitation. Values of \(W_{EE}\) are 0.50 (as in the asynchronous network from [4]), 6.45, 9 (as in the strong asynchronous network from [4]), and 10.7. Values of \(W_{IE}\) are 5 (as in the asynchronous network from [4]), 7.1, 8 (as in the strong asynchronous network from [4]), and 8.6. Again, \(W_{XY}=1\) is when the presynaptic input is exactly the average population firing rate (filtered by the synapse) in an all-to-all homogeneous network, so the coupling strengths vary significantly

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