ArticleMicrosystems & nanoengineering2020
Biological receptor-inspired flexible artificial synapse based on ionic dynamics.
Article in Microsystems & nanoengineering, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed.
- Battery-Inspired Electrochemical Synapses for Neuromorphic Applications.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Review
- Article
- Biomimetic-voltage nitride-enhanced memristor arrays for femtojoule in-memory biosignal processing.Nature communications · 2026Article
- Enhanced 2D MoTeNano letters · 2025Article
- Photoenergy harvesting by ammonium molybdate soft hydrogel drops.Light, science & applications · 2025Article
- Antimicrobial, photodegradation and BioReRAM applications of multifaceted green zinc oxide nanoparticles synthesized using coffee leaves extract.Scientific reports · 2025Article
- Self-Powered Photonic Synapses with Rapid Optical Erasing Ability for Neuromorphic Visual Perception.Research (Washington, D.C.) · 2024Article
- Triphenylamine-Based Helical Polymer for Flexible Memristors.Biomimetics (Basel, Switzerland) · 2023Article
- Natural Organic Materials Based Memristors and Transistors for Artificial Synaptic Devices in Sustainable Neuromorphic Computing Systems.Micromachines · 2023Review
- Low-Dimensional-Materials-Based Flexible Artificial Synapse: Materials, Devices, and Systems.Nanomaterials (Basel, Switzerland) · 2023Review
- Memristors with Biomaterials for Biorealistic Neuromorphic Applications.Small science · 2022Article
- Memristive Devices Based on Two-Dimensional Transition Metal Chalcogenides for Neuromorphic Computing.Nano-micro letters · 2022Review
- Recent Progress of Organic-Inorganic Hybrid Perovskites in RRAM, Artificial Synapse, and Logic Operation.Small science · 2022Article
- Transient Response and Firing Behaviors of Memristive Neuron Circuit.Frontiers in neuroscience · 2022Article
- Soft and flexible: core-shell ionic liquid resistive memory for electronic synapses.Microsystems & nanoengineering · 2021Article
Corrections and comments
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The memristor has been regarded as a promising candidate for constructing a neuromorphic computing platform that is capable of confronting the bottleneck of the traditional von Neumann architecture. Here, inspired by the working mechanism of the G-protein-linked receptor of biological cells, a novel double-layer memristive device with reduced graphene oxide (rGO) nanosheets covered by chitosan (an ionic conductive polymer) as the channel material is constructed. The protons in chitosan and the functional groups in rGO nanosheets imitate the functions of the ligands and receptors of biological cells, respectively. Smooth changes in the response current depending on the historical applied voltages are observed, offering a promising pathway toward biorealistic synaptic emulation. The memristive behavior is mainly a result of the interaction between protons provided by chitosan and the defects and functional groups in the rGO nanosheets. The channel current is due to the hopping of protons through functional groups and is limited by the traps in the rGO nanosheets. The transition from short-term to long-term potentiation is achieved, and learning-forgetting behaviors of the memristor mimicking those of the human brain are demonstrated. Overall, the bioinspired memristor-type artificial synaptic device shows great potential in neuromorphic networks.
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