Pulse frequency dependent synaptic characteristics in Ta/SiN/Si memristor device for neuromorphic system
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Alloys and Compounds"
DOI: 10.1016/j.jallcom.2021.160760
Abstract: Abstract We compare the filamentary resistive switching and the homogeneous resistive switching of the Ta/SiN/Si memristor device for the implementation of hardware-based neuromorphic system. The switching mode can be determined by the first switching curve.… read more here.
Keywords: neuromorphic system; memristor device; frequency dependent; resistive switching ... See more keywords
Forgetting memristor based neuromorphic system for pattern training and recognition
Sign Up to like & getrecommendations! Published in 2017 at "Neurocomputing"
DOI: 10.1016/j.neucom.2016.10.012
Abstract: This paper presents a neuromorphic system for mean variance based pattern training and recognition. The system contains a self-learning circuit, a training circuit and a recognition circuit. Memristor model with forgetting effect which has memory… read more here.
Keywords: training recognition; system; recognition; circuit ... See more keywords
Neuromorphic system using capacitor synapses
Sign Up to like & getrecommendations! Published in 2025 at "Scientific Reports"
DOI: 10.1038/s41598-025-87924-6
Abstract: Artificial intelligences are indispensable social infrastructures, neural networks are embodiment methodologies, and neuromorphic systems are promising solutions for compact size and low energy. Memristors were first prepared for the synapse devices but incur energy consumption,… read more here.
Keywords: energy; capacitor synapses; using capacitor; neuromorphic system ... See more keywords
Gradual conductance modulation of Ti/WOx/Pt memristor with self-rectification for a neuromorphic system
Sign Up to like & getrecommendations! Published in 2021 at "Applied Physics Letters"
DOI: 10.1063/5.0053478
Abstract: In this study, we present an analysis of the gradually modulated conductance of the Ti/WOx/Pt memristor. The deposited material layers were verified by transmission electron microscopy, energy-dispersive x-ray spectroscopy, and x-ray photoelectron spectroscopy. The results… read more here.
Keywords: conductance; wox memristor; neuromorphic system; spectroscopy ... See more keywords
Digital and Analog Switching Characteristics of InGaZnO Memristor Depending on Top Electrode Material for Neuromorphic System
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.3032188
Abstract: In this study, we demonstrate both of digital and analog memory operations in InGaZnO (IGZO) memristor devices by controlling the electrode materials for neuromorphic application. The switching properties of the devices are determined by the… read more here.
Keywords: neuromorphic system; switching characteristics; electrode; digital analog ... See more keywords
A Fast Weight Transfer Method for Real-Time Online Learning in RRAM-Based Neuromorphic System
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3157333
Abstract: In this work, a synaptic weight transfer method for a neuromorphic system based on resistive-switching random-access memory (RRAM) is proposed and validated. To implement the on-chip trainable neuromorphic system which utilizes large-scale hardware synapse units,… read more here.
Keywords: neuromorphic system; weight transfer; weight; transfer method ... See more keywords
A Multi-Bit ECRAM-Based Analog Neuromorphic System With High-Precision Current Readout Achieving 97.3% Inference Accuracy
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Biomedical Circuits and Systems"
DOI: 10.1109/tbcas.2024.3465610
Abstract: This article proposes an analog neuromorphic system that enhances symmetry, linearity, and endurance by using a high-precision current readout circuit for multi-bit nonvolatile electro-chemical random-access memory (ECRAM). For on-chip training and inference, the system uses… read more here.
Keywords: analog neuromorphic; system; inference; neuromorphic system ... See more keywords
Analog Memcapacitor by Ferroelectric Capacitor and Its Application to Spiking Neuromorphic System
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Electron Devices"
DOI: 10.1109/ted.2024.3408783
Abstract: An analog memcapacitor has been created by a ferroelectric capacitor. Since the memcapacitor is a capacitor, the power consumption is not dissipated at all in principle. The device structure is that a ferroelectric layer is… read more here.
Keywords: ferroelectric capacitor; analog memcapacitor; neuromorphic system; memcapacitor ... See more keywords
Gate-Tunable Synaptic Transistors Based on P-Type SnO for Complementary Neuromorphic System
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Electron Devices"
DOI: 10.1109/ted.2025.3605320
Abstract: Neuromorphic system may overcome von Neumann bottleneck and achieve higher computational efficiency. Among various approaches, oxide-based synaptic transistors have gained significant attention due to their tunable physical properties and compatibility with large-area industrial manufacturing. However,… read more here.
Keywords: type sno; complementary neuromorphic; sno; synaptic transistors ... See more keywords
The BrainScaleS-2 Accelerated Neuromorphic System With Hybrid Plasticity
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Neuroscience"
DOI: 10.3389/fnins.2022.795876
Abstract: Since the beginning of information processing by electronic components, the nervous system has served as a metaphor for the organization of computational primitives. Brain-inspired computing today encompasses a class of approaches ranging from using novel… read more here.
Keywords: accelerated neuromorphic; system; hybrid plasticity; system hybrid ... See more keywords