Nonlinear Extensions to Capacity-Limited Recursive Systems: Intermittent Viability, Frequency-Weighted Maneuverability, and Emulation Detection

Key Points

• The research aims to explore nonlinear dynamics in capacity-limited recursive systems and assess survival based on structural activations.
• Developed a framework for nonlinear dynamics in capacity-limited recursive systems.
• Introduced a maneuverability measure based on temporal availability of directions.
• Utilized a variance-based detector to expose intermittent behaviors.
• Applied findings to canonical nonlinear systems including chaotic models and the FitzHugh–Nagumo neuron.
• Identified an intermittency adversary that traditional methods cannot detect.
• Demonstrated that survival is linked to the frequency of structural activation conditions.
• Highlighted the effectiveness of the variance-based detector in nonlinear contexts.