Results 21 to 30 of about 95,522 (318)
Memristive Artificial Synapses for Neuromorphic Computing
Nano-Micro Letters, 2021 Neuromorphic computing simulates the operation of biological brain function for information processing and can potentially solve the bottleneck of the von Neumann architecture.
Wen Huang +8 more
doaj +1 more source
Manufacturing of graphene based synaptic devices for optoelectronic applications
International Journal of Extreme Manufacturing, 2023 Neuromorphic computing systems can perform memory and computing tasks in parallel on artificial synaptic devices through simulating synaptic functions, which is promising for breaking the conventional von Neumann bottlenecks at hardware level. Artificial
Kui Zhou +10 more
doaj +1 more source
Recent progress on optoelectronic synaptic devices [PDF]
SCIENTIA SINICA Informationis, 2020 Neuromorphic (brain-like) computing has great potential to solve the von Neumann bottleneck due to its self-adaptive learning, high-parallel computing capability, and low-power consumption. Realization of neuromorphic computing depends on the development of synaptic devices that mimic biological synapses.
Xiaodong PI +3 more
openaire +1 more source
Light-Emitting Artificial Synapses for Neuromorphic Computing
Research, 2022 As the key connecting points in the neuromorphic computing systems, synaptic devices have been investigated substantially in recent years. Developing optoelectronic synaptic devices with optical outputs is becoming attractive due to many benefits of ...
Chen Zhu +4 more
doaj +1 more source
Advanced Intelligent Systems, 2022 Flexible artificial synapses, which use flexible electronic devices to simulate biological synapses, are the cornerstone of brain‐like computers and artificial intelligence systems.
Xiangxiang Li +5 more
doaj +1 more source
Device Physics, Modeling and Simulation of Organic Electrochemical Transistors
IEEE Journal of the Electron Devices Society, 2023 In this work, we investigate organic electrochemical transistors (OECTs) as a novel artificial electronic device for the realization of synaptic behavior, bioelectronics, and a variety of applications. A numerical method considering the Poisson-Boltzmann
Malte Koch +7 more
doaj +1 more source
Novel synaptic memory device for neuromorphic computing [PDF]
Scientific Reports, 2014 This report discusses the electrical characteristics of two-terminal synaptic memory devices capable of demonstrating an analog change in conductance in response to the varying amplitude and pulse-width of the applied signal. The devices are based on Mn doped HfO₂ material.
MANDAL, S +4 more
openaire +3 more sources
Stretchable elastic synaptic transistors for neurologically integrated soft engineering systems [PDF]
, 2019 Artificial synaptic devices that can be stretched similar to those appearing in soft-bodied animals, such as earthworms, could be seamlessly integrated onto soft machines toward enabled neurological functions.
Chai, Yang +13 more
core +1 more source
A Multilevel Magnetic Synapse Based on Voltage‐Tuneable Magnetism by Nitrogen Ion Migration
Advanced Electronic Materials, 2023 Advanced synaptic devices with simultaneous memory and processor capabilities are envisaged as core elements of neuromorphic computing (NC) for low‐power artificial intelligence.
P. Monalisha +4 more
doaj +1 more source
Behavioral modeling of integrated phase-change photonic devices for neuromorphic computing applications [PDF]
, 2019 The combination of phase-change materials and integrated photonics has led to the development of new forms of all-optical devices, including photonic memories, arithmetic and logic processors, and synaptic and neuronal mimics. Such devices can be readily
Bhaskaran, Harish +8 more
core +3 more sources