ArticleNano-micro letters2022
A Flexible Tribotronic Artificial Synapse with Bioinspired Neurosensory Behavior.
Article in Nano-micro letters, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed.
- Self-Powered Flexible Triboelectric-Gated Ion-Gel Transistor for Neuromorphic Tactile Sensing and Human Activity Recognition.Advanced materials (Deerfield Beach, Fla.) · 2026Article
- Self-Powered Neuromorphic Systems Based on Tribotronics Synaptic Devices.Small (Weinheim an der Bergstrasse, Germany) · 2026Review
- Triboelectric Wearable Sensors for Human-Centric Smart Electronics: From Self-Powered Sensing to Artificial Intelligence-Assisted Human-Machine Interface Systems.Nano-micro letters · 2026Review
- Neuromorphic Technologies for Neuroengineering: From Adaptive Stimulation to SNN-Based Inference and Deployable Biointerfaces.Sensors (Basel, Switzerland) · 2026Review
- The Role of Ionic Liquids at the Biological Interfaces in Bioelectronics.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Review
- Advancing Flexible Optoelectronic Synapses and Neurons with MXene-Integrated Polymeric Platforms.Nanomaterials (Basel, Switzerland) · 2025Review
- Responsive Molecules for Organic Neuromorphic Devices: Harnessing Memory Diversification.Advanced materials (Deerfield Beach, Fla.) · 2025Review
- Soft Artificial Synapse Electronics.Research (Washington, D.C.) · 2025Review
- Evolution of Tribotronics: From Fundamental Concepts to Potential Uses.Micromachines · 2024Review
- Durable and High-Performance Triboelectric Nanogenerator Based on an Inorganic Triboelectric Pair of Diamond-Like-Carbon and Glass.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024Article
- Artificial organic afferent nerves enable closed-loop tactile feedback for intelligent robot.Nature communications · 2024Article
- Advanced Design of Soft Robots with Artificial Intelligence.Nano-micro letters · 2024Review
- Tailoring Classical Conditioning Behavior in TiONano-micro letters · 2024Article
- Recent Advances in In-Memory Computing: Exploring Memristor and Memtransistor Arrays with 2D Materials.Nano-micro letters · 2024Review
- Optoelectronic Synapses Based on MXene/Violet Phosphorus van der Waals Heterojunctions for Visual-Olfactory Crossmodal Perception.Nano-micro letters · 2024Article
- Artificial Intelligence Meets Flexible Sensors: Emerging Smart Flexible Sensing Systems Driven by Machine Learning and Artificial Synapses.Nano-micro letters · 2023Review
Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
As key components of artificial afferent nervous systems, synaptic devices can mimic the physiological synaptic behaviors, which have attracted extensive attentions. Here, a flexible tribotronic artificial synapse (TAS) with bioinspired neurosensory behavior is developed. The triboelectric potential generated by the external contact electrification is used as the ion-gel-gate voltage of the organic thin film transistor, which can tune the carriers transport through the migration/accumulation of ions. The TAS successfully demonstrates a series of synaptic behaviors by external stimuli, such as excitatory postsynaptic current, paired-pulse facilitation, and the hierarchical memory process from sensory memory to short-term memory and long-term memory. Moreover, the synaptic behaviors remained stable under the strain condition with a bending radius of 20 mm, and the TAS still exhibits excellent durability after 1000 bending cycles. Finally, Pavlovian conditioning has been successfully mimicked by applying force and vibration as food and bell, respectively. This work demonstrates a bioinspired flexible artificial synapse that will help to facilitate the development of artificial afferent nervous systems, which is great significance to the practical application of artificial limbs, robotics, and bionics in future.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.