Biskyrmion-based artificial neuron by Ismael Ribeiro de Assis, Ingrid Mertig, Börge Göbel

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Dopamine sensing in artificial neurons by Tan, Candy Hui Fang

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A chemically mediated artificial neuron by Wang, Ting, Wang, Ming, Wang, Jianwu, Yang, Le, Ren, Xueyang, Song, Gang, Chen, Shisheng, Yuan, Yuehui, Liu, Ruiqing, Pan, Liang, Li, Zheng, Leow, Wan Ru, Luo, Yifei, Ji, Shaobo, Cui, Zequn, He, Ke, Zhang, Feilong, Lv, Fengting, Tian, Yuanyuan, Cai, Kaiyu, Yang, Bowen., Niu, Jingyi, Zou, Haochen, Liu, Songrui, Xu, Guoliang, Fan, Xing, Hu, Benhui, Loh, Xian Jun, Wang, Lianhui, Chen, Xiaodong

“…Here we report a chemically mediated artificial neuron that can receive and release the neurotransmitter dopamine. …”
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Compact artificial neuron based on anti-ferroelectric transistor by Rongrong Cao, Xumeng Zhang, Sen Liu, Jikai Lu, Yongzhou Wang, Hao Jiang, Yang Yang, Yize Sun, Wei Wei, Jianlu Wang, Hui Xu, Qingjiang Li, Qi Liu

“…Here Liu et al. report an artificial neuron based on the polarization and depolarization of an anti-ferroelectric film, avoiding additional elements and reaching 37 fJ/spike of power consumption.…”
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Memristor bridge synapse for better artificial neuron perceptron by Nuo Wang, Lei Li, Yulong Chen, Hongyu Wang, Zheming Yang, Dingyu Long

“…In artificial neural networks, the fourth passive element memristor can be utilized as an electronic synapse that serves as the interface between neurons. The artificial neuron composed of the memristor bridge synapse not only has the characteristics of low power consumption and high integration but also has a more simplified circuit and weight change conditions. …”
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Domain wall-based artificial neurons for neuromorphic computing by Mah, William Wai Lum

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Unravelling the operation of organic artificial neurons for neuromorphic bioelectronics by Belleri, P, Pons i Tarrés, J, McCulloch, I, Blom, PWM, Kovács-Vajna, ZM, Gkoupidenis, P, Torricelli, F

“…Organic artificial neurons operating in liquid environments are crucial components in neuromorphic bioelectronics. …”

Series of Semihypergroups of Time-Varying Artificial Neurons and Related Hyperstructures by Jan Chvalina, Bedřich Smetana

Subjects: “…time-varying artificial neuron…”
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Advances in memristor based artificial neuron fabrication-materials, models, and applications by Jingyao Bian, Zhiyong Liu, Ye Tao, Zhongqiang Wang, Xiaoning Zhao, Ya Lin, Haiyang Xu, Yichun Liu

Subjects: “…artificial neuron…”
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ON SOME PROBLEMS OF CRYPTOGRAPHIC KEY DISTRIBUTION USING ARTIFICIAL NEURONAL NETWORKS by V. F. Golikov, N. V. Brych, V. L. Pivovarov

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Interaction of Arginine-Rich Cell-Penetrating Peptides with an Artificial Neuronal Membrane by Piotr Mucha, Emilia Sikorska, Piotr Rekowski, Jarosław Ruczyński

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Realization of Artificial Neurons and Synapses Based on STDP Designed by an MTJ Device by Manman Wang, Yuhai Yuan, Yanfeng Jiang

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Design of a Power Efficient Artificial Neuron Using Superconducting Nanowires by Toomey, Emily Anne, Segall, Ken, Berggren, Karl K.

“…Here, we propose to use superconducting nanowires as a platform for the development of an artificial neuron. Building on an architecture first proposed for Josephson junctions, we rely on the intrinsic non-linearity of two coupled nanowires to generate spiking behavior, and use electrothermal circuit simulations to demonstrate that the nanowire neuron reproduces multiple characteristics of biological neurons. …”
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Emerging memristive artificial neuron and synapse devices for the neuromorphic electronics era by Li, Jiayi, Abbas, Haider, Ang, Diing Shenp, Ali, Asif, Ju, Xin

“…Based on the benchmark, we address the challenges, suggest the guidelines for intra-device and inter-device design, and outlook the neuromorphic applications for the resistive switching-based artificial neuron and synapse devices.…”
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Universal quantum gates, artificial neurons, and pattern recognition simulated by LC resonators by Motohiko Ezawa

“…We also discuss an application to an artificial neuron. As an example, we study pattern recognition of numbers and alphabets by evaluating the similarity between an input and the reference pattern. …”
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Chaotic Path-Planning Algorithm Based on Courbage–Nekorkin Artificial Neuron Model by Dmitriy Kvitko, Vyacheslav Rybin, Oleg Bayazitov, Artur Karimov, Timur Karimov, Denis Butusov

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Artificial Neurons on Flexible Substrates: A Fully Printed Approach for Neuromorphic Sensing by Surya A. Singaraju, Dennis D. Weller, Thurid S. Gspann, Jasmin Aghassi-Hagmann, Mehdi B. Tahoori

“…The printing process employs graphene ink for passive structures and In<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msub><mrow></mrow><mn>2</mn></msub></semantics></math></inline-formula>O<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msub><mrow></mrow><mn>3</mn></msub></semantics></math></inline-formula> as active material to print a two-input artificial neuron on PI. To ensure a small area footprint, the thickness of graphene film is tuned to target a resistance and to obtain conductors or resistors. …”
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Artificial neurons based on antiferromagnetic auto-oscillators as a platform for neuromorphic computing by H. Bradley, S. Louis, C. Trevillian, L. Quach, E. Bankowski, A. Slavin, V. Tyberkevych

“…Spiking artificial neurons emulate the voltage spikes of biological neurons and constitute the building blocks of a new class of energy efficient, neuromorphic computing systems. …”
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Design of activity tracker with on-board pattern recognition based on artificial neuron network by Chuang, Chun Tuan

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The Artificial Neuron: Built From Nanosheet Transistors to Achieve Ultra Low Power Consumption by I. Munavar Sheriff, R. Sakthivel

“…The purpose of this research is to construct an artificial neuron based on nanosheet transistors and evaluate its spiking behaviour and power consumption. …”
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