ArticleScience advances2024
Ultralow-power optoelectronic synaptic transistors based on polyzwitterion dielectrics for in-sensor reservoir computing.
Article in Science advances, 2024. 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.
- High-linearity all-2D heterojunction-based neuromorphic image-sensing transistor array with a sandwiched tunneling layer for dynamic vision.Nature communications · 2026Article
- Low Power Optoelectronic Neuromorphic Memristor for In-Sensor Computing and Multilevel Hardware Security Communications.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Temporal-Spatial Fusion Vision Hardware Enables Streamlined In-Sensor Computing for Dynamic Scenes.Nature communications · 2026Article
- Multimodal ion-gated transistor based on 2D superionic conductor for in-memory computing in deep learning.Nature communications · 2026Article
- Article
- Synaptic Plasticity Engineering for Neural Precision, Temporal Learning, and Scalable Neuromorphic Systems.Nano-micro letters · 2026Review
- Devices, Functions, and Applications of Artificial Neuromorphic Visual Systems.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Review
- Device-level nonlinearity and temporal memory in optoelectronic reservoir computing.Nano convergence · 2025Review
- Strategic Fermi Level Engineering of Donor-Acceptor Self-Assembled Monolayer toward Ultrahigh Paired-Pulse Facilitations in Photosynaptic Transistors.Journal of the American Chemical Society · 2025Article
- Intelligent Photodetectors: Postmanufacturing Tunability toward Enhanced Performance and Advanced Functions.Chemical reviews · 2025Review
- Multi-dimensional visual information processing under complex light environments using time-evolved polarization-sensitive synaptic electronics.Nature communications · 2025Article
- Bio-inspired mid-infrared neuromorphic transistors for dynamic trajectory perception using PdSeNature communications · 2025Article
- Organic Synaptic Transistors and Printed Circuit Board Defect Inspection with Photonic Stimulation: A Novel Approach Using Oblique Angle Deposition.Small (Weinheim an der Bergstrasse, Germany) · 2025Article
- Chelated tin halide perovskite for near-infrared neuromorphic imaging array enabling object recognition and motion perception.Nature communications · 2025Article
- Revealing the Effect of Crystalline Self-Assembled Monolayer in Biomimetic Photosynapse with Ultraviolet Light Protection Capability.ACS applied materials & interfaces · 2024Article
- Space-Confined Growth of Ultrathin 2D β-GaSmall science · 2024Article
Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Bio-inspired transistor synapses use solid electrolytes to achieve low-power operation and rich synaptic behaviors via ion diffusion and trapping. While these neuromorphic devices hold great promise, they still suffer from challenges such as high leakage currents and power consumption, electrolysis risk, and irreversible conductance changes due to long-range ion migrations and permanent ion trapping. In addition, their response to light is generally limited because of "exciton-polaron quenching", which restricts their potential in in-sensor neuromorphic visions. To address these issues, we propose replacing solid electrolytes with polyzwitterions, where the cation and anion are covalently concatenated via a flexible alkyl chain, thus preventing long-range ion migrations while inducing good photoresponses to the transistors via interfacial charge trapping. Our detailed studies reveal that polyzwitterion-based transistors exhibit optoelectronic synaptic behavior with ultralow-power consumption (~250 aJ per spike) and enable high-performance in-sensor reservoir computing, achieving 95.56% accuracy in perceiving the trajectory of moving basketballs.
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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.