A self-powered artificial retina perception system for image preprocessing based on photovoltaic devices and memristive arrays

Yang, Xiaoyang; Xiong, Ziyu; Chen, Yongji; Ren, Yi; Zhou, Li; Li, Huilin; Zhou, Ye; Pan, Feng; Han, Su‐Ting

doi:10.1016/j.nanoen.2020.105246

Cited by 108 publications

(103 citation statements)

References 61 publications

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“…Artificial visual perception systems have been attracted attention because they can enable the perception process such as recognition, learning, and memorization in the next generation robotics and human‐like sensory electronics. [ 141–145 ] Especially, some studies have focused on metal‐oxide‐based visual perception systems. For example, Shen et al.…”

Section: Future Convergence Technology Based On Metal Oxide Phototransistorsmentioning

confidence: 99%

A Review of Phototransistors Using Metal Oxide Semiconductors: Research Progress and Future Directions

et al. 2021

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Metal oxide thin‐film transistors have been continuously researched and mass‐produced in the display industry. However, their phototransistors are still in their infancy. In particular, utilizing metal oxide semiconductors as phototransistors is difficult because of the limited light absorption wavelength range and persistent photocurrent (PPC) phenomenon. Numerous studies have attempted to improve the detectable light wavelength range and the PPC phenomenon. Here, recent studies on metal oxide phototransistors are reviewed, which have improved the range of light wavelengths and the PPC phenomenon by introducing an absorption layer of oxide or non‐oxide hybrid structure. The materials of the absorption layer applied to absorb long‐wavelength light are classified into oxides, chalcogenides, organic materials, perovskites, and nanodots. Finally, next‐generation convergence studies combined with other research fields are introduced and future research directions are detailed.

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Section: Future Convergence Technology Based On Metal Oxide Phototransistorsmentioning

confidence: 99%

A Review of Phototransistors Using Metal Oxide Semiconductors: Research Progress and Future Directions

et al. 2021

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“…The self‐powered artificial retina perception system designed by Han's team contained a photodetector, artificial synapses and artificial neural networks (ANNs) to mimic biological visual systems 81 . For the photodetector, SiN x /n‐Si/p‐Si/Al silicon solar cells are seen as rods and cones to receive the optical signal and convert it into the current.…”

Section: Applicationsmentioning

confidence: 99%

“…(A) 5 × 7 arrays of cells and memristor 81 . (B) 784 × 25 × 10 three‐layer ANNs 81 . (C) The artificial visual system designed by Han's team: (1) the artificial visual system consisting of solar cells (as the retina), perovskite memristors (as synapses), and ANNs (as the visual center); (2) solar cells; (3) devices with conductive filaments; (4) ANNs 81 .…”

Section: Applicationsmentioning

confidence: 99%

Halide perovskite for low‐power consumption neuromorphic devices

Raifuku

Chao

Chen

et al. 2021

EcoMat

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The rapid emergency of data science, information technology, and artificial intelligence (AI) relies on massive data processing with high computing efficiency and low power consumption. However, the current von‐Neumann architecture system requires high‐energy budget to process data computing and storage between central computing unit and memory. To overcome this problem, neuromorphic computing system which mimics the operation of human brain has been proposed to perform computing in an energy‐efficient manner. Recently, organic–inorganic halide perovskite compounds have been demonstrated as promising components for neuromorphic devices owing to their strong light absorption, solution processability, and unique properties such as ion migration, carrier trapping effects and phase transition. In this review paper, we report recent advances of neuromorphic devices which employed organic–inorganic halide perovskite compounds by analyzing their fundamental operating mechanisms, device architectures, applications and future prospective.

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“…Furthermore, they have achieved a self-adaptation artificial auditory pathway with noise adjustable behavior. Recently, Yang’s group designed a self-powered artificial retina perception system by using two-terminal silicon solar cells and an ITO/CsPbBr 2 I/P3HT/Ag memristor device together ( Yang X. et al, 2020 ). In their system, the electrical signal was generated by a light stimulation through the solar cell and transferred to the perovskite-based memristor as a pre-synaptic signal, realizing further information pre-processing functions.…”

Section: Self-powered Memristive Systems For Neuromorphic Computingmentioning

confidence: 99%

Self-Powered Memristive Systems for Storage and Neuromorphic Computing

et al. 2021

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A neuromorphic computing chip that can imitate the human brain’s ability to process multiple types of data simultaneously could fundamentally innovate and improve the von-neumann computer architecture, which has been criticized. Memristive devices are among the best hardware units for building neuromorphic intelligence systems due to the fact that they operate at an inherent low voltage, use multi-bit storage, and are cost-effective to manufacture. However, as a passive device, the memristor cell needs external energy to operate, resulting in high power consumption and complicated circuit structure. Recently, an emerging self-powered memristive system, which mainly consists of a memristor and an electric nanogenerator, had the potential to perfectly solve the above problems. It has attracted great interest due to the advantages of its power-free operations. In this review, we give a systematic description of self-powered memristive systems from storage to neuromorphic computing. The review also proves a perspective on the application of artificial intelligence with the self-powered memristive system.

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A self-powered artificial retina perception system for image preprocessing based on photovoltaic devices and memristive arrays

Cited by 108 publications

References 61 publications

A Review of Phototransistors Using Metal Oxide Semiconductors: Research Progress and Future Directions

A Review of Phototransistors Using Metal Oxide Semiconductors: Research Progress and Future Directions

Halide perovskite for low‐power consumption neuromorphic devices

Self-Powered Memristive Systems for Storage and Neuromorphic Computing

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