Echolocation-inspired memristive behavioral decision circuit

Memristive circuits have been widely employed to emulate various neural behavioral mechanisms. However, most existing works remain focused on isolated learning processes and have not yet established behavioral systems capable of adapting to changing stimuli, transitioning across perceptual states, and preserving behavioral continuity. To address these limitations, an echolocation-inspired memristive behavioral decision circuit is proposed in this work. The framework is organized into four functional modules — Stimulus, Action, Decision-making, and Memory — which operate cooperatively to enable behavioral generation that transitions from stimulus-driven responses to experience-driven execution across different conditions. Under strong stimulus conditions, behavior is directly elicited by external sensory input; under weak stimulus conditions, decision reliability is maintained through internal regulation; and under no-stimulus conditions, behavioral continuity is preserved through experience-based bias and memory replay. PSPICE simulations verify that the circuit maintains stable decision outputs and functional continuity across all conditions, demonstrating its effectiveness for biologically inspired and adaptive decision-making in neuromorphic systems.