Artificial synapses emulated through a light mediated organic–inorganic hybrid transistor

Mao, Jing‐Yu; Hu, Liang; Zhang, Shirui; Ren, Yi; Yang, Jiaqin; Zhou, Li; Zeng, Yu‐Jia; Zhou, Ye; Han, Su‐Ting

doi:10.1039/c8tc05030a

Cited by 78 publications

(61 citation statements)

References 55 publications

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“…Levi et al [870] further developed the concept by investigating the biomimetic neuronal networks towards brain-morphic artificial intelligence. Implementation of lightstimulated synaptic emulators may greatly enhance computational speed by providing devices with high bandwidth, low power computation requirements, and low crosstalk [871] , [872] , [873] , [874] , [875] , [876] , [877] , [878] , [675] , [879] , [880] . Oxides also are an excellent platform for innovative photo-driven learning as several synaptic functionalities, such as tunable photoelectric STP/STD and LTP/LTD, may be emulated taking advantage of the inherent persistent photoconductivity and volatile resistive switching characteristics of the some oxide-based devices (Fig.…”

Section: Neural Codesmentioning

confidence: 99%

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Functional Oxides for Photoneuromorphic Engineering: Toward a Solar Brain

Pérez‐Tomás

2019

Adv Materials Inter

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New device concepts and new computing principles are needed to balance our ever-growing appetite for data and information with the realization of the goals of increased energy efficiency, reduction in CO 2 emissions and the circular economy. Neuromorphic or synaptic electronics is an emerging field of research aiming to overcome the current computer's Von-Neumann bottleneck by building artificial neuronal systems to mimic the extremely energy efficient biological synapses. The introduction of photovoltaic and/or photonic aspects into these neuromorphic architectures will produce self-powered adaptive electronics but may also open up new possibilities in artificial neuroscience, artificial neural communications, sensing and machine learning which would enable, in turn, a new era for computational systems owing to the possibility of attaining high bandwidths with much reduced power consumption. This perspective is focused on recent progress in the implementation of functional oxide thinfilms into photovoltaic and neuromorphic applications towards the envisioned goal of selfpowered photovoltaic neuromorphic systems or a solar brain.

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Section: Neural Codesmentioning

confidence: 99%

“…c) EPSC amplitude ratio (A 30 /A 1 ) plotted as a function of the presynaptic light spikes frequency. Panel (a) adapted with permission from [873] © 2019 COPYRIGHT Royal Society of Chemistry. Panels (b), (g) and (h) adapted with permission from [871] © 2019 COPYRIGHT WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.…”

Section: Conclusion Remarks and Future Outlookmentioning

confidence: 99%

Functional Oxides for Photoneuromorphic Engineering: Toward a Solar Brain

Pérez‐Tomás

2019

Adv Materials Inter

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“…As one kind of conventional materials applied for synaptic devices, binary oxides are extensively used in memristors. Among various kinds of binary oxides, ZnO, HfO 2 , and AlO x have been paid growing attention in photonic synaptic devices due to their peculiar performance, such as their ease of fabrication, low cost, and great possibility in achieving a simple device structure …”

Section: Emerging Materials‐based Synaptic Devicesmentioning

confidence: 99%

“…Furthermore, as an emerging 2D material, BP has a peculiar advantage in broadband absorption, strong light‐matter coupling, and easily tunable optoelectronic properties . Utilizing the inherent optoelectronic properties using oxidation‐related defects in BP, Ahmed et al exploited a two‐terminal BP‐based synaptic device to achieve all optical pathway for simulating both excitatory and inhibitory action potentials without applying external polarity changing electric field .…”

Section: Emerging Materials‐based Synaptic Devicesmentioning

confidence: 99%

Recent Progress in Photonic Synapses for Neuromorphic Systems

Zhang

Dai

Zhao

et al. 2020

Advanced Intelligent Systems

165

118

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Implementing synaptic functions with electronic devices is critical to achieve neuromorphic systems on the hardware platform, as synapses play important roles in brain computing and memory. Synapses modulated by light signals, which are also referred as photonic synapses, can not only make effective use of the outstanding properties of light to provide devices with ultrahigh propagation speed, high bandwidth and low crosstalk but also provide a noncontact writing method, which can facilitate the evolution of optical wireless communication and operation. More importantly, real‐time image processing can also be performed by photonic synapses which possess temporary memory. Thus far, tremendous efforts have been taken to design and fabricate photonic synapses. Herein, a summary of the development of different kinds of emerging materials utilized in photonic synaptic devices including memristors, field‐effect transistors, and phase change memory is presented, followed by the innovative applications of photonic synapses for neuromorphic systems. Finally, some current challenges and future study directions are discussed.

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“…Their desirable properties, including atomic thickness, dangling-bond-free surfaces, mechanical strength, high integration density, tunable electrical transport, and optical properties, as well as low energy consumption, make them ideal candidates for applications in a wide range of electronic devices ( Gupta et al., 2015 ; Mas-Ballesté et al., 2011 ; Xia et al., 2017 ). More recently, the applications of 2D materials have been extensively studied for energy-efficient and high-performing artificial synapses ( Arnold et al., 2017 ; Chen et al., 2019c ; Dev et al., 2020 ; Hu et al., 2019 ; Jiang et al., 2017 ; Kalita et al., 2019 ; Kim et al., 2019c ; Krishnaprasad et al., 2019 ; Kumar et al., 2019 ; Li et al., 2018 ; Liu et al., 2019 ; Mao et al., 2019 ; Paul et al., 2019 ; Pradhan et al., 2020 ; Xie et al., 2018a , 2018b ; Xu et al., 2019 ; Yan et al., 2019a ; Yi et al., 2018 ; Zhu et al., 2019 ). Furthermore, owing to their dangling-bonds-free surface and atomically thin nature, a variety of 2D materials-based heterostructures have been developed in spite of their lattice mismatch ( Novoselov et al., 2016 ).…”

Section: Introductionmentioning

confidence: 99%

Two-Dimensional Near-Atom-Thickness Materials for Emerging Neuromorphic Devices and Applications

Mofid

et al. 2020

iScience

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Summary Two-dimensional (2D) layered materials and their heterostructures have recently been recognized as promising building blocks for futuristic brain-like neuromorphic computing devices. They exhibit unique properties such as near-atomic thickness, dangling-bond-free surfaces, high mechanical robustness, and electrical/optical tunability. Such attributes unattainable with traditional electronic materials are particularly promising for high-performance artificial neurons and synapses, enabling energy-efficient operation, high integration density, and excellent scalability. In this review, diverse 2D materials explored for neuromorphic applications, including graphene, transition metal dichalcogenides, hexagonal boron nitride, and black phosphorous, are comprehensively overviewed. Their promise for neuromorphic applications are fully discussed in terms of material property suitability and device operation principles. Furthermore, up-to-date demonstrations of neuromorphic devices based on 2D materials or their heterostructures are presented. Lastly, the challenges associated with the successful implementation of 2D materials into large-scale devices and their material quality control will be outlined along with the future prospect of these emergent materials.

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Artificial synapses emulated through a light mediated organic–inorganic hybrid transistor

Abstract: An artificial synapse emulated through a light mediated organic–inorganic hybrid transistor is reported by combining electronic and photoactive modes of operation. These photoactive synapses with metaplasticity effects pave the way for multifunctional neuromorphic computing systems.

Cited by 78 publications

References 55 publications

Functional Oxides for Photoneuromorphic Engineering: Toward a Solar Brain

Functional Oxides for Photoneuromorphic Engineering: Toward a Solar Brain

Recent Progress in Photonic Synapses for Neuromorphic Systems

Two-Dimensional Near-Atom-Thickness Materials for Emerging Neuromorphic Devices and Applications

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