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Bacteriorhodopsin optoelectronic synapses
Optics Letters, 1997Synapses are critical components of an artificial neural network. Bacteriorhodopsin thin film can be used to construct compact, finely graded synapses for an optoelectronic neural network, based on its photochromic properties. Measurements show that these photochromic changes are blocked at low temperature.
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Optoelectronic Artificial Synapses Based on Two-Dimensional Transitional-Metal Trichalcogenide
ACS Applied Materials & Interfaces, 2021The memristor is a foundational device for an artificial synapse, which is essential to realize next-generation neuromorphic computing. Herein, an optoelectronic memristor based on a two-dimensional (2D) transitional-metal trichalcogenide (TMTC) is designed and demonstrated.
Lei Liu +9 more
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Multiwavelength Optoelectronic Synapse with 2D Materials for Mixed-Color Pattern Recognition
ACS Nano, 2022Neuromorphic visual systems emulating biological retina functionalities have enormous potential for in-sensor computing, with prospects of making artificial intelligence ubiquitous. Conventionally, visual information is captured by an image sensor, stored by memory units, and eventually processed by the machine learning algorithm.
Molla Manjurul Islam +11 more
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Superconducting optoelectronic single-photon synapses
Nature Electronics, 2022Saeed Khan +12 more
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Colloidal Quantum Dots‐Based Photoelectrochemical‐Type Optoelectronic Synapse
Advanced Functional MaterialsAbstractCurrent artificial neuromorphic systems are mainly constructed using solid‐state optoelectronic synaptic devices, limiting their potential artificial intelligence applications in liquid medium. Here, colloidal CuInGaSe/ZnSe quantum dots (QDs) with environment‐benign feature and broad visible light absorption are prepared to fabricate a ...
Liping Gu +7 more
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An Organic Optoelectronic Synapse with Multilevel Memory Enabled by Gate Modulation
ACS Applied Materials & InterfacesArtificial synaptic devices are emerging as contenders for next-generation computing systems due to their combined advantages of self-adaptive learning mechanisms, high parallel computation capabilities, adjustable memory level, and energy efficiency.
Haotian Guo +7 more
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All-Inorganic CsPbBr3 Perovskite Planar-Type Memristors as Optoelectronic Synapses
ACS Applied Materials & InterfacesMimicking fundamental synaptic working principles with memristors contributes an essential step toward constructing brain-inspired, high-efficiency neuromorphic systems that surpass von Neumann system computers. Here, an electroforming-free planar-type memristor based on a CsPbBr3 single crystal is proposed and exhibits excellent resistive switching ...
Zehan Liu +7 more
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Skyrmion-based artificial synapses for neuromorphic computing
Nature Electronics, 2020Kyung Mee Song, Xi-Chao Zhang, Jing Xia
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Astrocytes phagocytose adult hippocampal synapses for circuit homeostasis
Nature, 2020Joon-Hyuk Lee +2 more
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Phase-change memtransistive synapses for mixed-plasticity neural computations
Nature Nanotechnology, 2022Syed Ghazi Sarwat +2 more
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