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Learn about Additive Noise-Induced System Evolution (ANISE) in this 38-minute conference talk by Axel Hutt from Institut National de Recherche en Informatique et Automatique (INRIA). Explore how additive noise influences the evolution of dynamical systems, examining the mathematical frameworks and theoretical foundations that govern noise-driven system behavior. Discover the mechanisms by which random perturbations can fundamentally alter system dynamics and lead to emergent phenomena. Gain insights into the applications of ANISE theory across various scientific domains, including neuroscience, physics, and engineering systems. Understand the computational and analytical approaches used to study noise-induced transitions and their implications for system stability and performance. This presentation is part of the BrainModes workshop series at the Fields Institute, providing advanced mathematical perspectives on stochastic processes and their role in complex system evolution.
