Results 31 to 40 of about 35,463 (245)

Quantum Dots for Resistive Switching Memory and Artificial Synapse

open access: yesNanomaterials
Memristor devices for resistive-switching memory and artificial synapses have emerged as promising solutions for overcoming the technological challenges associated with the von Neumann bottleneck.
Gyeongpyo Kim   +2 more
doaj   +1 more source

MnO2/WO3 electrochromic synapses for optical neuromorphic computing with adaptation effect [PDF]

open access: yesAIP Advances
Optical neuromorphic computing offers advantages such as high speed, parallel processing, and strong interference resistance compared with conventional electronic computing methods.
Xi Chen, Yang Liu
doaj   +1 more source

A biomimetic ocular prosthesis system: emulating autonomic pupil and corneal reflections

open access: yesNature Communications, 2022
The adoption of photonic synapses with biosimilarity to realize analog signal transmission is of significance in realizing artificial illuminance modulation responses.
Seongchan Kim   +15 more
doaj   +1 more source

Integration of Low‐Voltage Nanoscale MoS2 Memristors on CMOS Microchips

open access: yesAdvanced Functional Materials, EarlyView.
This article presents the first monolithic integration of nanoscale MoS2‐based memristors into the back‐end‐of‐line of foundry‐fabricated CMOS microchips in a one‐transistor‐one‐resistor (1T1R) architecture. The MoS2‐based 1T1R cells exhibit forming‐free, nonvolatile resistive switching with ultra‐low operating voltages, low cycle‐to‐cycle variability ...
Jimin Lee   +16 more
wiley   +1 more source

Vertical organic synapse expandable to 3D crossbar array

open access: yesNature Communications, 2020
Though three-terminal organic synapses are attractive for artificial neural networks due their weight controllable property, their structural limitations hinder performance.
Yongsuk Choi   +4 more
doaj   +1 more source

Soft Artificial Synapse Electronics

open access: yesResearch
Soft electronics, known for their bendable, stretchable, and flexible properties, are revolutionizing fields such as biomedical sensing, consumer electronics, and robotics. A primary challenge in this domain is achieving low power consumption, often hampered by the limitations of the conventional von Neumann architecture.
Md. Rayid Hasan Mojumder   +2 more
openaire   +3 more sources

Optoelectronic Synaptic Devices Using Molecular Telluride Phase‐Change Inks for Three‐Factor Learning

open access: yesAdvanced Functional Materials, EarlyView.
Optoelectronic synaptic devices based on solution‐processed molecular telluride GST‐225 phase‐change inks are demonstrated for three‐factor learning. A global optical signal broadcast through a silicon waveguide induces non‐volatile conductance updates exclusively in locally electrically flagged memristors.
Kevin Portner   +14 more
wiley   +1 more source

Robust Lead‐Free Perovskite Nanowire Array‐Based Artificial Synapses Exemplifying Gestalt Principle of Closure via a Letter Recognition Scheme

open access: yesAdvanced Intelligent Systems, 2022
The Gestalt principles of perceptual learning elucidate how the human brain categorizes and comprehends a set of visual elements grouped together. One of the principles of Gestalt perceptual learning is the law of closure which propounds that human ...
Swapnadeep Poddar   +10 more
doaj   +1 more source

Achieving High ON State Current through Ferroelectric Polarization‐Dependent Interfacial Resistance Switching in Undoped Orthorhombic HfO2 Films

open access: yesAdvanced Functional Materials, EarlyView.
Ferroelectric tunnel junction devices based on epitaxial undoped ferroelectric HfO2 films demonstrate stable switching endurance of over 106 switching cycles, low write voltages of ±3 V, 16 measured resistance states, and neuromorphic capability.
Markus Hellenbrand   +13 more
wiley   +1 more source

Correlation between PPF index and short-term memory in physical-reservoir computing with artificial synapse using simple RC-series circuit

open access: yesAIP Advances
The correlation between the short-term plasticity (STP) of artificial synapses and the computational performance of physical-reservoir computing (PRC) using artificial synapses has not yet been clarified. We investigate the correlation between the paired-
Hiroaki Komatsu   +3 more
doaj   +1 more source

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