Nonlinear Dynamics in Bio-Inspired Complex Systems


The research activity focuses on the development of numerical and analytical methodologies to investigate the nonlinear dynamics of complex networks (made of non-identical cells with time-varying/delayed/noisy interconnections) to realize spatio-temporal pattern classifiers. Complex networks of nonlinear oscillators could also be instrumental for the implementation of high frequency, low power consuming logic gates and other information processing tools.
The research activity involves the application of spectral techniques and perturbation theory. Phase model reduction methods are being developed for networks of coupled nonlinear oscillators subject to external stimuli described by functional differential equations (for systems with delays) and stochastic differential equations (for systems with noise).

ERC sectors 

  • PE7_3 Simulation engineering and modelling
  • PE7_4 (Micro-and nano-) systems engineering


  • Nonlinear Oscillators
  • Oscillatory Associative Memories
  • Stochastic Differential Equations