The development of electronic devices possessing the functionality of a nociceptor is a crucial step toward electronic receptors that can transfer the external stimuli to the internal nerve system. Of the various materials that have been used to realize artificial nociceptors, biopolymers have the advantages of being abundant, inexpensive, biocompatible, and flexible. In this study, nociceptor behaviors are demonstrated by the flexible Ag/carboxymethyl ι-carrageenan/ITO/PET forming-free memristors for the electronic receptors. The flexible carboxymethyl ι-carrageenan-based memristor showed threshold switching characteristics with a high I_ON/I_OFF ratio of ∼10⁴ and good switching endurance (>1.5 × 10⁵ cycles). It also showed high bending endurance over 1000 cycles when measured in both the flat and the maximum bending conditions. More importantly, it differs from other common sensory receptors with its key features and functions, including threshold, relaxation, allodynia and hyperalgesia behaviors. Such nociceptive behaviors are attributed to the formation and spontaneous rupture of the Ag filament with diffusive dynamics. Finally, we built a pressure sensory alarm system by using our artificial nociceptor devices.

Generation of an intermediate band state in amorphous TiO ₂ by ultraviolet pulsed laser ablation in water.

Memristive synapses from biomaterials are promising for building flexible and implantable artificial neuromorphic systems due to their remarkable mechanical and biological properties. However, these biological devices have relatively poor memristive switching characteristics, and thus fail to meet the requirement of neuromorphic networks for high learning accuracy. Here, memristive synapses based on carrageenan nanocomposites that possess desirable characteristics are demonstrated. These devices show highly reproducible analog resistive switching behaviors with 250 conductance states, low write noise, good write linearity, high retention of more than 10⁴ s and endurance for at least 10⁶ pulses. The enhanced switching properties are attributed to controllable and confined conductive filament growth, owing to the synergistic effect of self-assembled silver nanocluster doping and nanocone-shaped electrode contact. Moreover, the devices exhibit excellent reliability after 1000 bending cycles. Simulations including the non-ideal factors prove that the synaptic device array can operate with an online learning accuracy of 94.3%. These findings enable broader applications of biomaterials in flexible memristive devices and neuromorphic systems.