Modular stability tools for distributed computation and control

摘要

Much recent functional modelling of the central nervous system, beyond traditional 'neural net' approaches, focuses on its distributed computational architecture. This paper discusses extensions of our recent work aimed at understanding this architecture from an overall non-linear stability and convergence point of view, and at constructing artificial devices exploiting similar modularity. Applications to synchronization and to schooling are also described. The development makes extensive use of non-linear contraction theory.