Litcius/Paper detail

Demonstration of electronic synapses using a sericin-based bio-memristor

Huanhuan Rong, Miao-Cheng Zhang, Xin Liang, Cheng Liu, Mohamed Saadi, Xingyu Chen, Liang Yao, Yerong Zhang, Nan He, Ertao Hu, Lei Zhang, Lin He, Yi Tong

2023Applied Physics Express13 citationsDOIOpen Access PDF

Abstract

Abstract The bio-memristor based on biomaterial has ushered in enthusiasm and optimism in brain-inspired computing systems. Here, the bio-memristor based on sericin has been fabricated with the structure of Ag/sericin/W. The sericin-based bio-memristors demonstrated threshold-switching behavior with low set voltage (∼0.25 V), good cycle-to-cycle uniformity (∼400 cycles), and a large switching window (>100). Interestingly, the device conductance was tuned gradually by the modulation of voltage pulses (amplitude, number, and frequency). The synaptic behaviors can be mimicked, i.e., short-term plasticity, spike-rate-dependent plasticity, and spike-timing-dependent plasticity. This work may open new avenues of bio-memristors in brain-inspired neuromorphic systems.

Topics & Concepts

Neuromorphic engineeringMemristorSericinMaterials scienceConductanceVoltageSynaptic plasticityPlasticitySpike-timing-dependent plasticityOptoelectronicsNeuroscienceComputer scienceBiological systemElectronic engineeringArtificial neural networkElectrical engineeringSILKChemistryPhysicsArtificial intelligenceEngineeringBiologyComposite materialCondensed matter physicsReceptorBiochemistryAdvanced Memory and Neural ComputingPhotoreceptor and optogenetics researchNeuroscience and Neural Engineering