Results 21 to 30 of about 36,804 (240)

Electrical and Optical Modulation of a PEDOT:PSS‐Based Electrochemical Transistor for Multiple Neurotransmitter‐Mediated Artificial Synapses [PDF]

open access: yes, 2023
Neuromorphic systems that display synaptic conditioning based on biochemical signaling activity have recently been introduced in the form of artificial synapses that are model devices to develop tissue-interfaced platforms.
Matrone, Giovanni Maria   +14 more
core   +1 more source

A simple MOSFET model of an artificial synapse [PDF]

open access: yes2004 IEEE International Joint Conference on Neural Networks (IEEE Cat. No.04CH37541), 2005
A simple analog-signal synapse model is developed and later implemented on a standard 0.35 /spl mu/m CMOS process to provide for large scale of integration, high processing speed and manufacturability of a multi-layer artificial neural network. Synapse nonlinearity with respect to synapse weight is studied. Demonstrated is the capability of the circuit
openaire   +1 more source

Artificial synapses enabled neuromorphic computing: From blueprints to reality [PDF]

open access: yes, 2022
Emerging brain-inspired neuromorphic computing systems have become a potential candidate for overcoming the von Neuman bottleneck that limits the performance of most modern computers.
Xin Tu   +13 more
core   +1 more source

CsPbBr3/graphene nanowall artificial optoelectronic synapses for controllable perceptual learning

open access: yes, 2023
The rapid development of neuromorphic computing has stimulated extensive research interest in artificial synapses. Optoelectronic artificial synapses using laser beams as stimulus signals have the advantages of broadband, fast response, and low crosstalk.
Yibo Dong   +7 more
core   +1 more source

Neurotransmitter‐Induced Excitatory and Inhibitory Functions in Artificial Synapses

open access: yes, 2022
© 2022 Wiley-VCH GmbHNeurotransmitters control signal transmission in the nervous system. The signals of neuron cells can be excited or inhibited based on the types of neurotransmitters that are released from pre-synaptic neurons.
Lee, Jang-Sik   +3 more
core   +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

All-in-one metal-oxide heterojunction artificial synapses for visual sensory and neuromorphic computing systems

open access: yes, 2022
An all-in-one artificial synapse integrating central nervous and sensory nervous functions utilizing low-dimensional metal-oxide heterojunction is demonstrated in this work.
Liu, Y   +25 more
core   +1 more source

Intermediate Resistive State in Wafer‐Scale Vertical MoS2 Memristors Through Lateral Silver Filament Growth for Artificial Synapse Applications

open access: yesAdvanced Functional Materials, EarlyView.
In MOCVD MoS2 memristors, a current compliance‐regulated Ag filament mechanism is revealed. The filament ruptures spontaneously during volatile switching, while subsequent growth proceeds vertically through the MoS2 layers and then laterally along the van der Waals gaps during nonvolatile switching.
Yuan Fa   +19 more
wiley   +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

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

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