HIGHLIGHTS
- who: Noise-Perturbed Excitatory-Inhibitory and collaborators from the Shanghai Center for Mathematical Sciences, School of Mathematical Sciences, and LMNS, Fudan University, Shanghai, China have published the paper: Complex Dynamics of Noise-Perturbed Excitatory-Inhibitory Neural Networks With Intra-Correlative and Inter-Independent Connections, in the Journal: (JOURNAL)
- what: The authors intend to study the noise-perturbed excitatory-inhibitory random neural_networks, in which the bidirectional synaptic weights between any pair of neurons in both type of populations are correlated, as showed sketchily in Figure 1. The authors investigate the maximal Lyapunov exponents for the two . . .
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