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Journal ArticleDOI

Optoelectronic Synapse Based on IGZO-Alkylated Graphene Oxide Hybrid Structure

TLDR
Owing to this enhancement of synaptic operation, the recognition rates for the Modified National Institute of Standards and Technology digit patterns improve from 36% and 49% to 50% and 62% in artificial neural networks using long‐term potentiation/depression characteristics with 20 and 100 weight states, respectively.
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This article is published in Advanced Functional Materials.The article was published on 2018-11-01. It has received 244 citations till now. The article focuses on the topics: Graphene.

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A comprehensive review on emerging artificial neuromorphic devices

TL;DR: A comprehensive review on emerging artificial neuromorphic devices and their applications is offered, showing that anion/cation migration-based memristive devices, phase change, and spintronic synapses have been quite mature and possess excellent stability as a memory device, yet they still suffer from challenges in weight updating linearity and symmetry.
Journal ArticleDOI

Recent Advances in Transistor-Based Artificial Synapses

TL;DR: A review of recent advances in transistor‐based artificial synapses is presented to give a guideline for future implementation of synaptic functions with transistors and the main challenges and research directions of transistor‐ based artificial synapse are presented.
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Retina-Inspired Carbon Nitride-Based Photonic Synapses for Selective Detection of UV Light.

TL;DR: Organic photonic synapses that selectively detect UV rays and process various optical stimuli are presented and in situ modulation of exposure to UV light is demonstrated by integrating the devices with UV transmittance modulators.
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Artificial Optoelectronic Synapses Based on Ferroelectric Field-Effect Enabled 2D Transition Metal Dichalcogenide Memristive Transistors

TL;DR: A class of ferroElectric field-effect memristive transistors made of a two-dimensional WS2 semiconductor atop a ferroelectric PbZr0.2Ti0.8O3 thin film for optoelectronic synaptic devices show the emulation of optically-driven synaptic functionalities including both short- and long-term plasticity as well as the implementation of brain-like learning rules.
References
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Journal ArticleDOI

Gradient-based learning applied to document recognition

TL;DR: In this article, a graph transformer network (GTN) is proposed for handwritten character recognition, which can be used to synthesize a complex decision surface that can classify high-dimensional patterns, such as handwritten characters.
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Mastering the game of Go with deep neural networks and tree search

TL;DR: Using this search algorithm, the program AlphaGo achieved a 99.8% winning rate against other Go programs, and defeated the human European Go champion by 5 games to 0.5, the first time that a computer program has defeated a human professional player in the full-sized game of Go.
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The missing memristor found

TL;DR: It is shown, using a simple analytical example, that memristance arises naturally in nanoscale systems in which solid-state electronic and ionic transport are coupled under an external bias voltage.
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Short-Term Synaptic Plasticity

TL;DR: The evidence for this hypothesis, and the origins of the different kinetic phases of synaptic enhancement, as well as the interpretation of statistical changes in transmitter release and roles played by other factors such as alterations in presynaptic Ca(2+) influx or postsynaptic levels of [Ca(2+)]i are discussed.
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