Publication

Abstract : Thermally coupled internal states in second-order memristive systems provide a convincing path for imitating complex nociceptive and synaptic activity in neuromorphic devices. This paper presents a simulation for nociception and plasticity using a second-order memristor with two state variables: the size of the conduction filament as the first variable and the conduction filament temperature as the second variable. The work simulates diabetic foot ulcer (DFU), showing biologically similar nociceptor responses, including threshold detection, pain sensitivity mapping, recovery delay, and step-by-step sensitivity spectrum modeling. The device exhibits dynamic spike-response characteristics whereby paired voltage pulses cause thermal summation and short-term memory equivalent to intracellular calcium accumulation. Replicated are potentiation, asymmetric Hebbian learning, spike-timing dependent plasticity (STDP), and so confirm the bio-realistic behaviour of the model. Furthermore, this work explores sensitization-recovery profiles and timelines for adaptation fit the observed pathological desensitization in clinical DFU. These discoveries establish second-order thermal memristors as practical candidates for pain-perception circuits and adaptive bio-signal processing with future implications in biomedical instrumentations, soft robotics and intelligent prosthesis. Moreover, this study formally assesses the proposed device as a diagnostic measurement sensor, outlining its calibration standards, measurement uncertainty, and performance metrics for trustworthy clinical screening in order to connect neuromorphic engineering with biomedical instrumentation.