Recent Progress in Optoelectronic Synapses for Artificial Visual‐Perception System

Han, Xun; Xu, Zhangsheng; Wu, Wenqiang; Liu, Xianhu; Yan, Peiguang; Pan, Caofeng

doi:10.1002/sstr.202000029

Cited by 108 publications

(88 citation statements)

References 136 publications

(80 reference statements)

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“…This report used artificial organic synaptic devices to construct a bionic tactile perception system which will lead a research foundation for the further development of artificial sensory systems (olfactory system, visual system, tactile system, and auditory system) (as shown in Figure 10). [46,75,[213][214][215][216][217][218] In this review, recent advances in emerging FOSTs have been summarized, including the realization of flexibility in four classical types of FOSTs. Although the FOSTs have made significant progress in basic research and potential applications, they are still in their early stages.…”

Section: Discussionmentioning

confidence: 99%

Recent Advances in Flexible Organic Synaptic Transistors

Liu

Huang

et al. 2021

Adv Elect Materials

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organic electronic devices have attracted substantial attention. [18][19][20][21][22][23][24] However, many issues still exist. For instance, the flexible substrates can be easily bent and thus cause damage to the devices or affect their electrical performance. Moreover, the flexible substrates are sensitive to operating conditions and are unstable during longterm operation. [25][26][27][28][29] Therefore, many research groups have dedicated their efforts to study and improve the flexibility and stretchability of organic electronic devices. [30][31][32][33] In recent years, organic three-terminal synaptic transistors have evolved from two-terminal devices to avoid the problem of crosstalk between adjacent cells. [34] This is an evolutionary structural design to improve the function of organic synaptic devices. In addition, the organic three-terminal synaptic transistors can be designed to form a highly interconnected neural network system. [35] At the same time, the organic three-terminal synaptic transistors can concurrently receive and read stimuli, which is conducive to the design of multiple input devices. [36] Currently, the threeterminal artificial synapses devices based on flexible organic transistors are considered to be the representative structures of biomimetic devices, which can be used to simulate the plasticity of biological synapses. [37,38] Compared with the traditional inorganic synaptic devices, the flexible organic synaptic transistors (FOSTs) can be used to simulate the plasticity of the human brain with a simpler structure and lower manufacturing cost. Therefore, a FOST is a promising component of future organic neuromorphic systems. [39][40][41][42][43][44][45][46] To date, the FOSTs have been widely used in wearable electronic devices and intelligent e-skins. [47][48][49] In 2018, a flexible artificial afferent nerve was reported by Xu et al. [47] representing significant progress toward the development of intelligent e-skin and soft robotics. This paper reviews the recent progress in the development of FOSTs and their applications in neuromorphic systems. Generally, the FOSTs are divided into four categories: flexible organic floating-gate synaptic transistors (FO-FGSTs), flexible organic ferroelectric-gate synaptic transistors (FO-FeGSTs), flexible organic electrolyte-gate synaptic transistors (FO-EGSTs), and flexible organic optoelectronic synaptic transistors (FO-OSTs). First, a brief introduction of the device structure mostly used in the FOSTs is provided. Then, the selection of substrate materials, gate dielectric materials, organic channel materials, and electrode materials in the FOSTs is summarized. Next, the major advances of these FOSTs and their potential applications are reviewed and discussed. Lastly, the summary, outlook, and In recent years, flexible organic synaptic transistors have attracted considerable attention due to their flexibility, biocompatibility, easy processability, and reduced complexity. Flexible organic synaptic transistors have functions and structures sim...

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Section: Discussionmentioning

confidence: 99%

Recent Advances in Flexible Organic Synaptic Transistors

Liu

Huang

et al. 2021

Adv Elect Materials

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“…A high-pass filter H(u, v) = 1 − exp(−f 2 ∕(2f 2 H )) was used based on the filtering characteristics of the synaptic devices. Here, f 2 = (u − m) 2 + (v − n) 2 . The cutoff frequency of our device was 6.9.…”

Section: Methodsmentioning

confidence: 99%

Retina‐Inspired Self‐Powered Artificial Optoelectronic Synapses with Selective Detection in Organic Asymmetric Heterojunctions

et al. 2022

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The retina, the most crucial unit of the human visual perception system, combines sensing with wavelength selectivity and signal preprocessing. Incorporating energy conversion into these superior neurobiological features to generate core visual signals directly from incoming light under various conditions is essential for artificial optoelectronic synapses to emulate biological processing in the real retina. Herein, self-powered optoelectronic synapses that can selectively detect and preprocess the ultraviolet (UV) light are presented, which benefit from high-quality organic asymmetric heterojunctions with ultrathin molecular semiconducting crystalline films, intrinsic heterogeneous interfaces, and typical photovoltaic properties. These devices exhibit diverse synaptic behaviors, such as excitatory postsynaptic current, paired-pulse facilitation, and high-pass filtering characteristics, which successfully reproduce the unique connectivity among sensory neurons. These zero-power optical-sensing synaptic operations further facilitate a demonstration of image sharpening. Additionally, the charge transfer at the heterojunction interface can be modulated by tuning the gate voltage to achieve multispectral sensing ranging from the UV to near-infrared region. Therefore, this work sheds new light on more advanced retinomorphic visual systems in the post-Moore era.

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“…In optoelectronic semiconductor devices, the electrons and holes are generated due to electrons (holes) jumping from the valence (conduction) band to the conduction (valence) band in response to optical pulses [118][119][120][121][122]. The generated carriers could be captured by traps in the devices [123].…”

Section: Capture and Release Of Carriers By Trapsmentioning

confidence: 99%

Memristive Artificial Synapses for Neuromorphic Computing

et al. 2021

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Neuromorphic computing simulates the operation of biological brain function for information processing and can potentially solve the bottleneck of the von Neumann architecture. This computing is realized based on memristive hardware neural networks in which synaptic devices that mimic biological synapses of the brain are the primary units. Mimicking synaptic functions with these devices is critical in neuromorphic systems. In the last decade, electrical and optical signals have been incorporated into the synaptic devices and promoted the simulation of various synaptic functions. In this review, these devices are discussed by categorizing them into electrically stimulated, optically stimulated, and photoelectric synergetic synaptic devices based on stimulation of electrical and optical signals. The working mechanisms of the devices are analyzed in detail. This is followed by a discussion of the progress in mimicking synaptic functions. In addition, existing application scenarios of various synaptic devices are outlined. Furthermore, the performances and future development of the synaptic devices that could be significant for building efficient neuromorphic systems are prospected.

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Recent Progress in Optoelectronic Synapses for Artificial Visual‐Perception System

Cited by 108 publications

References 136 publications

Recent Advances in Flexible Organic Synaptic Transistors

Recent Advances in Flexible Organic Synaptic Transistors

Retina‐Inspired Self‐Powered Artificial Optoelectronic Synapses with Selective Detection in Organic Asymmetric Heterojunctions

Memristive Artificial Synapses for Neuromorphic Computing

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