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Article
Chemistry, Multidisciplinary
Yue Wang et al.
Summary: This research presents an optoelectronic synaptic device with dual modes and versatile synaptic plasticity based on optoelectronic integration. The device can mimic biological synapses in wavelength-selective synaptic plasticity and spike-rate-dependent plasticity with optical stimulation. A light-stimulated artificial neural network for digit recognition and image processing simulation are proposed to demonstrate the device's potential applications.
ADVANCED FUNCTIONAL MATERIALS
(2022)
Article
Chemistry, Multidisciplinary
Chao Han et al.
Summary: The study introduces a light-stimulated synaptic transistor (LSST) device with an ultra-high paired pulse facilitation (PPF) index, achieved by introducing an ultra-thin carrier regulator layer hexagonal boron nitride (h-BN) into a classic graphene-based hybrid transistor frame. Analysis of the rate-limiting effect of h-BN on photogenerated carriers reveals the mechanism behind the ultra-high PPF index of LSST. A two-layer artificial neural network connected by LSST devices demonstrates a high recognition accuracy of handwritten digits.
ADVANCED FUNCTIONAL MATERIALS
(2022)
Article
Anatomy & Morphology
Yamni S. Mohan et al.
Summary: This study examines the mechanisms underlying the sharp feature selectivity in the visual cortex of tree shrews. The results show that neurons in tree shrew V1 prefer the same stimulus orientation within the same cortical column, but some neurons near the border of layer 4 prefer near orthogonal orientations. Additionally, layer 4 neurons exhibit sharper orientation selectivity at higher spatial frequencies. These findings suggest that intracortical mechanisms play a crucial role in shaping sharp feature selectivity in tree shrews, potentially inherited from thalamic inputs.
BRAIN STRUCTURE & FUNCTION
(2022)
Article
Physics, Applied
Yu Zhao et al.
Summary: This study demonstrates the development of an artificial optoelectronic nociceptor using large-area In2S3 thin films as memristors. The nociceptor shows complete nociceptive behaviors, responding to both electrical and visual light stimuli. The sensory signal features such as responding threshold, relaxation time, and sensitivity can be controlled by adjusting the strength and frequency of external stimuli and the biasing of the electrostatic gate.
JOURNAL OF PHYSICS D-APPLIED PHYSICS
(2022)
Article
Computer Science, Information Systems
Ying Zhu et al.
Summary: Temperature is a significant factor that affects the properties of synaptic devices, and its study is important for neuromorphic computing and bionic perception. This research proposes indium-gallium-zinc-oxide (IGZO) based electrical-double-layer neuromorphic transistors for the emulation of temperature-dependent synaptic functions. The experimental results demonstrate the temperature-induced spiking AND to OR logic switching in an IGZO-based neuromorphic transistor with two in-plane gate electrodes.
SCIENCE CHINA-INFORMATION SCIENCES
(2022)
Article
Nanoscience & Nanotechnology
Syed A. Bukhari et al.
Summary: Vanadium dioxide (VO2) exhibits an insulator to metal transition at 68 degrees C, displaying significant changes in multiple physical properties. By precise strain engineering, the transition temperature can be reduced. A noncontact, all-optical platform is demonstrated to study macroscopic dynamics related to localized structural rearrangements. Multiple stable frequencies of the resonator can be activated at different optical powers and wavelengths, showing potential applications in ultrafast optical switching and intelligent temperature sensors.
ADVANCED ELECTRONIC MATERIALS
(2022)
Article
Nanoscience & Nanotechnology
Henrique F. P. Barbosa et al.
Summary: The article proposes a new method using modified PEDOT:PSS synthesis to obtain low-charge density PEDOT:PSS inks for constructing neuromorphic devices, achieving stability and tunable charge-density materials.
ADVANCED ELECTRONIC MATERIALS
(2022)
Review
Multidisciplinary Sciences
Weilin Chen et al.
Summary: The efficient handling of optical information by the biological visual system suggests an alternative approach for upgrading the artificial vision system for high-performance edge computing applications. Retinomorphic machine vision, based on the integration of optoelectronic image sensors and processors, is a promising technology that reduces data transmission and improves computing efficiency through information preprocessing.
Article
Chemistry, Multidisciplinary
Hongyu Bian et al.
Summary: By utilizing a special class of memristive materials based on persistent luminescent emitters, memory processes and synaptic plasticity can be effectively simulated. These memory materials with optical characteristics allow for direct observation of subtle changes in luminescence intensity.
ADVANCED MATERIALS
(2022)
Article
Chemistry, Multidisciplinary
Chunsheng Chen et al.
Summary: This study presents a highly bio-realistic photoelectric spiking neuron for visual depth perception. By utilizing memristive spiking encoders and a network of neuromorphic transistors, it imitates the distance-dependent response and eye fatigue of biological visual systems.
ADVANCED MATERIALS
(2022)
Article
Psychology, Experimental
Diane Rekow et al.
Summary: This study investigates the neural activity and perceptual awareness of faces using face pareidolia as a proxy. The results show a clear correlation between neural categorization of facelike objects and conscious face perception, supporting the idea that face-selective brain activity predicts the subjective experience of a face.
Review
Physics, Condensed Matter
Wei Wen et al.
Summary: This review discusses the application of neurosynaptic devices in information processing and analyzes their development trends.
JOURNAL OF SEMICONDUCTORS
(2022)
Article
Materials Science, Multidisciplinary
Jinran Yu et al.
Summary: This review discusses the development and applications of bioinspired interactive neuromorphic devices. By integrating various sensors and synaptic devices, these devices can sense, store, and process information from the external environment and perform functions of perception, learning, memory, and computation. The article presents the basic model and performance metrics of these devices and discusses the recent progress in materials, device architectures, synaptic plasticity, and potential applications. It also proposes devices that can fuse multiple sensing signals to address more complex problems. Finally, the pros and cons of computing neurons and integrating sensory neurons are discussed, along with the perspectives on future development at the material, device, network, and system levels.
Review
Computer Science, Information Systems
Mingxuan Bu et al.
Summary: This review provides an overview of the research background, basic properties, recent developments, and challenges of synaptic devices based on semiconductor nanocrystals.
FRONTIERS OF INFORMATION TECHNOLOGY & ELECTRONIC ENGINEERING
(2022)
Article
Physics, Multidisciplinary
Shen Liu-Feng et al.
Summary: This review article discusses the recent research advances and prospects of practical applications in optoelectronic neuromorphic devices. The article introduces the working mechanisms of artificial optoelectronic synapses and neurons, and explores the applications of optoelectronic neuromorphic devices in fields such as artificial vision systems, artificial perception systems, and neuromorphic computing. Additionally, the article summarizes the challenges faced by optoelectronic neuromorphic devices and presents future development directions.
ACTA PHYSICA SINICA
(2022)
Review
Chemistry, Multidisciplinary
Emanuel Carlos et al.
Summary: Metal oxide resistive switching memories are crucial for the requirements of the Internet of Things, and solution-based devices offer advantages such as high flexibility and low cost. These devices are emergent and promising non-volatile memories for future electronics.
ADVANCED MATERIALS
(2021)
Article
Engineering, Electrical & Electronic
Wen Du et al.
Summary: Inspired by the human retina, an image memory logic unit (IMLU) is proposed in this study, which integrates photodetection, comparison, and logic operations and shows great potential in simplifying information processing tasks in machine vision.
IEEE ELECTRON DEVICE LETTERS
(2021)
Review
Optics
Bhavin J. Shastri et al.
Summary: Research in photonic computing is thriving due to the proliferation of optoelectronic components in photonic integration platforms. Photonic integrated circuits have enabled ultrafast artificial neural networks, with algorithms running on such hardware having the potential to address the growing demand for machine learning and artificial intelligence. Neuromorphic photonics offers sub-nanosecond latencies, providing a complementary opportunity to extend the domain of artificial intelligence.
Article
Physics, Applied
Ujjal Das et al.
Summary: The study presented a two-terminal artificial synapse based on organic-inorganic hybrid perovskite, which can emulate important synaptic characteristics including analog memory switching, short-term plasticity, and long-term plasticity. The device modifies synaptic plasticity through voltage pulses and light illumination, achieving emulation of synaptic functions.
APPLIED PHYSICS LETTERS
(2021)
Article
Multidisciplinary Sciences
Gregory D. Horwitz
Summary: This study found that differences in the shapes of the luminance and chromatic temporal contrast sensitivity functions in macaque monkeys are due almost entirely to pre-cortical mechanisms. The sensitivity of LGN neurons was well matched to behavioral sensitivity at low temporal frequencies but significantly higher at high temporal frequencies.
Article
Chemistry, Multidisciplinary
Yusheng Chen et al.
Summary: A new type of long-afterglow organic light-emitting transistors (LAOLETs) has been developed, utilizing a photoinduced synaptic effect in an inorganic indium-gallium-zinc-oxide (IGZO) semiconductor channel layer. This allows for persistent electroluminescence in organic light-emitting materials, with the LAOLETs integrated into active-matrix light-emitting arrays functioning as visual UV sensors capable of long-lifetime green-light emission in irradiated regions.
ADVANCED MATERIALS
(2021)
Article
Chemistry, Multidisciplinary
Xiang Wan et al.
Summary: Center-surround antagonism, a key mechanism in the retina, is successfully emulated in a neuromorphic system using multiple ionic devices with lithium cobalt oxide channels arranged on a common electrolyte. By exciting single devices and implementing device-to-device inhibition, the system is able to encode edge contrast and achieve edge detection for real images. The simplicity and effectiveness of this system is attributed to the intrinsic properties of the materials employed.
Article
Engineering, Electrical & Electronic
Donhee Ham et al.
Summary: Neuromorphic electronics aims to reverse engineer the brain by copying the functional synaptic connectivity map of a mammalian neuronal network onto a high-density three-dimensional network of solid-state memories. This copy-and-paste approach could potentially lead to silicon integrated circuits that better approximate computing traits of the brain, including low power consumption, easy learning, adaptation, autonomy, and cognition.
NATURE ELECTRONICS
(2021)
Review
Physics, Condensed Matter
Fuyou Liao et al.
Summary: This review article discusses the potential of mimicking neurobiological structures and functionalities of the retina to build highly efficient neuromorphic vision sensors. It also highlights the challenges of conventional frame-based image sensors and the recent advancements in neuromorphic vision sensors. The article concludes with an outlook on the prospects of development in this field.
JOURNAL OF SEMICONDUCTORS
(2021)
Review
Automation & Control Systems
Sung Woon Cho et al.
Summary: Optoelectronic synapses are promising neuromorphic devices that mimic synaptic plasticity and related functions using optical means. Compared to traditional electronic synapses, using light as input signal in photonic neuromorphic chips offers advantages such as high density, low power consumption, and low crosstalk.
ADVANCED INTELLIGENT SYSTEMS
(2021)
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Hongye Guan et al.
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Wen Xiong et al.
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(2020)
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Lei Yin et al.
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Wen Huang et al.
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J. K. Clark et al.
Article
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Xiaoyang Yang et al.
Review
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Jia-Qin Yang et al.
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(2020)
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Mohit Kumar et al.
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Seonggil Ham et al.
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(2019)
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IEEE COMMUNICATIONS SURVEYS AND TUTORIALS
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JOURNAL OF PHYSICAL CHEMISTRY LETTERS
(2015)
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IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
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