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Biological Networks Entropies: examples in neural, genetic and social networks

The networks used in biological applications at different scales (molecular, cellular and populational) are of different types, genetic, neuronal, and social, but they share the same dynamical concepts, the notion of intercation graph G(J) associated to their Jacobian matrix J, and also the concepts of frustrated nodes, positive or negative circuits of G(J), kinetic energy, entropy, attractors, structural stability, etc...are relevant and useful for studying the dynamics and the robustness of these systems.We will give some general results available for both continuous and discrete biologial networks and then, give some specific applications (a neural network involved in the memory evocation, ...
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