Artigos de revistas sobre o tema "Neuromorphic technologies/devices"
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Orii, Yasumitsu, Akihiro Horibe, Kuniaki Sueoka, Keiji Matsumoto, Toyohiro Aoki, Hirokazu Noma, Sayuri Kohara et al. "PERSPECTIVE ON REQUIRED PACKAGING TECHNOLOGIES FOR NEUROMORPHIC DEVICES". International Symposium on Microelectronics 2015, n.º 1 (1 de outubro de 2015): 000561–66. http://dx.doi.org/10.4071/isom-2015-tha15.
Texto completo da fonteDiao, Yu, Yaoxuan Zhang, Yanran Li e Jie Jiang. "Metal-Oxide Heterojunction: From Material Process to Neuromorphic Applications". Sensors 23, n.º 24 (12 de dezembro de 2023): 9779. http://dx.doi.org/10.3390/s23249779.
Texto completo da fonteMilo, Valerio, Gerardo Malavena, Christian Monzio Compagnoni e Daniele Ielmini. "Memristive and CMOS Devices for Neuromorphic Computing". Materials 13, n.º 1 (1 de janeiro de 2020): 166. http://dx.doi.org/10.3390/ma13010166.
Texto completo da fonteAbbas, Haider, Jiayi Li e Diing Shenp Ang. "Conductive Bridge Random Access Memory (CBRAM): Challenges and Opportunities for Memory and Neuromorphic Computing Applications". Micromachines 13, n.º 5 (30 de abril de 2022): 725. http://dx.doi.org/10.3390/mi13050725.
Texto completo da fonteAllwood, Dan A., Matthew O. A. Ellis, David Griffin, Thomas J. Hayward, Luca Manneschi, Mohammad F. KH Musameh, Simon O'Keefe et al. "A perspective on physical reservoir computing with nanomagnetic devices". Applied Physics Letters 122, n.º 4 (23 de janeiro de 2023): 040501. http://dx.doi.org/10.1063/5.0119040.
Texto completo da fonteDella Rocca, Mattia. "Of the Artistic Nude and Technological Behaviorism". Nuncius 32, n.º 2 (2017): 376–411. http://dx.doi.org/10.1163/18253911-03202006.
Texto completo da fonteKurshan, Eren, Hai Li, Mingoo Seok e Yuan Xie. "A Case for 3D Integrated System Design for Neuromorphic Computing and AI Applications". International Journal of Semantic Computing 14, n.º 04 (dezembro de 2020): 457–75. http://dx.doi.org/10.1142/s1793351x20500063.
Texto completo da fonteHajtó, Dániel, Ádám Rák e György Cserey. "Robust Memristor Networks for Neuromorphic Computation Applications". Materials 12, n.º 21 (31 de outubro de 2019): 3573. http://dx.doi.org/10.3390/ma12213573.
Texto completo da fonteCovi, Erika, Halid Mulaosmanovic, Benjamin Max, Stefan Slesazeck e Thomas Mikolajick. "Ferroelectric-based synapses and neurons for neuromorphic computing". Neuromorphic Computing and Engineering 2, n.º 1 (7 de fevereiro de 2022): 012002. http://dx.doi.org/10.1088/2634-4386/ac4918.
Texto completo da fonteSueoka, Brandon, e Feng Zhao. "Memristive synaptic device based on a natural organic material—honey for spiking neural network in biodegradable neuromorphic systems". Journal of Physics D: Applied Physics 55, n.º 22 (7 de março de 2022): 225105. http://dx.doi.org/10.1088/1361-6463/ac585b.
Texto completo da fonteSchneider, Michael, Emily Toomey, Graham Rowlands, Jeff Shainline, Paul Tschirhart e Ken Segall. "SuperMind: a survey of the potential of superconducting electronics for neuromorphic computing". Superconductor Science and Technology 35, n.º 5 (30 de março de 2022): 053001. http://dx.doi.org/10.1088/1361-6668/ac4cd2.
Texto completo da fonteJeon, Young Pyo, Yongbin Bang, Hak Ji Lee, Eun Jung Lee, Young Joon Yoo e Sang Yoon Park. "Short-Term to Long-Term Plasticity Transition Behavior of Memristive Devices with Low Power Consumption via Facilitating Ionic Drift of Implanted Lithium". Electronics 10, n.º 21 (20 de outubro de 2021): 2564. http://dx.doi.org/10.3390/electronics10212564.
Texto completo da fonteJha, Rashmi. "Emerging Memory Devices Beyond Conventional Data Storage: Paving the Path for Energy-Efficient Brain-Inspired Computing". Electrochemical Society Interface 32, n.º 1 (1 de março de 2023): 49–51. http://dx.doi.org/10.1149/2.f10231if.
Texto completo da fonteKhajooei, Arash, Mohammad (Behdad) Jamshidi e Shahriar B. Shokouhi. "A Super-Efficient TinyML Processor for the Edge Metaverse". Information 14, n.º 4 (10 de abril de 2023): 235. http://dx.doi.org/10.3390/info14040235.
Texto completo da fonteGao, Zhan, Yan Wang, Ziyu Lv, Pengfei Xie, Zong-Xiang Xu, Mingtao Luo, Yuqi Zhang et al. "Ferroelectric coupling for dual-mode non-filamentary memristors". Applied Physics Reviews 9, n.º 2 (junho de 2022): 021417. http://dx.doi.org/10.1063/5.0087624.
Texto completo da fonteChiappalone, Michela, Vinicius R. Cota, Marta Carè, Mattia Di Florio, Romain Beaubois, Stefano Buccelli, Federico Barban et al. "Neuromorphic-Based Neuroprostheses for Brain Rewiring: State-of-the-Art and Perspectives in Neuroengineering". Brain Sciences 12, n.º 11 (19 de novembro de 2022): 1578. http://dx.doi.org/10.3390/brainsci12111578.
Texto completo da fonteBanerjee, Writam. "Challenges and Applications of Emerging Nonvolatile Memory Devices". Electronics 9, n.º 6 (22 de junho de 2020): 1029. http://dx.doi.org/10.3390/electronics9061029.
Texto completo da fonteLi, Bixin, Shiyang Zhang, Lan Xu, Qiong Su e Bin Du. "Emerging Robust Polymer Materials for High-Performance Two-Terminal Resistive Switching Memory". Polymers 15, n.º 22 (10 de novembro de 2023): 4374. http://dx.doi.org/10.3390/polym15224374.
Texto completo da fonteMikhaylov, A. N. "Neuroelectronics as neuromorphic and neurohybryd systems enabled by memristive technology". Genes & Cells 18, n.º 4 (15 de dezembro de 2023): 825–26. http://dx.doi.org/10.17816/gc623426.
Texto completo da fonteAbd, Hamam, e Andreas König. "On-Chip Adaptive Implementation of Neuromorphic Spiking Sensory Systems with Self-X Capabilities". Chips 2, n.º 2 (6 de junho de 2023): 142–58. http://dx.doi.org/10.3390/chips2020009.
Texto completo da fonteAkai-Kasaya, Megumi, Yuki Takeshima, Shaohua Kan, Kohei Nakajima, Takahide Oya e Tetsuya Asai. "Performance of reservoir computing in a random network of single-walled carbon nanotubes complexed with polyoxometalate". Neuromorphic Computing and Engineering 2, n.º 1 (24 de janeiro de 2022): 014003. http://dx.doi.org/10.1088/2634-4386/ac4339.
Texto completo da fonteShen, Zongjie, Chun Zhao, Yanfei Qi, Ivona Z. Mitrovic, Li Yang, Jiacheng Wen, Yanbo Huang, Puzhuo Li e Cezhou Zhao. "Memristive Non-Volatile Memory Based on Graphene Materials". Micromachines 11, n.º 4 (25 de março de 2020): 341. http://dx.doi.org/10.3390/mi11040341.
Texto completo da fonteZatsarinny, A. A., e K. K. Abgaryan. "Factors determining the relevance of creation research infrastructure for the synthesis of new materials in the framework of the implementation of the priorities of scientific and technological development of Russia". Izvestiya Vysshikh Uchebnykh Zavedenii. Materialy Elektronnoi Tekhniki = Materials of Electronics Engineering 22, n.º 4 (4 de fevereiro de 2020): 298–301. http://dx.doi.org/10.17073/1609-3577-2019-4-298-301.
Texto completo da fonteKamath, Rachana, Parantap Sarkar, Sindhoora Kaniyala Melanthota, Rajib Biswas, Nirmal Mazumder e Shounak De. "Resistive Memory-Switching Behavior in Solution-Processed Trans, trans-1,4-bis-(2-(2-naphthyl)-2-(butoxycarbonyl)-vinyl) Benzene–PVA-Composite-Based Aryl Acrylate on ITO-Coated PET". Polymers 16, n.º 2 (12 de janeiro de 2024): 218. http://dx.doi.org/10.3390/polym16020218.
Texto completo da fonteOu, Qiao-Feng, Bang-Shu Xiong, Lei Yu, Jing Wen, Lei Wang e Yi Tong. "In-Memory Logic Operations and Neuromorphic Computing in Non-Volatile Random Access Memory". Materials 13, n.º 16 (10 de agosto de 2020): 3532. http://dx.doi.org/10.3390/ma13163532.
Texto completo da fonteRahmani, Amir Masoud, Rizwan Ali Naqvi, Saqib Ali, Seyedeh Yasaman Hosseini Mirmahaleh, Mohammed Alswaitti, Mehdi Hosseinzadeh e Kamran Siddique. "An Astrocyte-Flow Mapping on a Mesh-Based Communication Infrastructure to Defective Neurons Phagocytosis". Mathematics 9, n.º 23 (24 de novembro de 2021): 3012. http://dx.doi.org/10.3390/math9233012.
Texto completo da fontePedretti, Giacomo, e Daniele Ielmini. "In-Memory Computing with Resistive Memory Circuits: Status and Outlook". Electronics 10, n.º 9 (30 de abril de 2021): 1063. http://dx.doi.org/10.3390/electronics10091063.
Texto completo da fonteOstrovskii, V. Yu, O. S. Druzhina, O. Kamal, T. I. Karimov e D. N. Butusov. "Design of a memristor-based neuron for spiking neural networks". Genes & Cells 18, n.º 4 (15 de dezembro de 2023): 827–30. http://dx.doi.org/10.17816/gc623428.
Texto completo da fonteYanushkevich, Svetlana, Hong Tran, Golam Tangim, Vladimir Shmerko, Elena Zaitseva e Vitaly Levashenko. "The EXOR gate under uncertainty: A case study". Facta universitatis - series: Electronics and Energetics 24, n.º 3 (2011): 451–82. http://dx.doi.org/10.2298/fuee1103451y.
Texto completo da fonteFiorelli, Rafaella, Eduardo Peralías, Roberto Méndez-Romero, Mona Rajabali, Akash Kumar, Mohammad Zahedinejad, Johan Åkerman, Farshad Moradi, Teresa Serrano-Gotarredona e Bernabé Linares-Barranco. "CMOS Front End for Interfacing Spin-Hall Nano-Oscillators for Neuromorphic Computing in the GHz Range". Electronics 12, n.º 1 (3 de janeiro de 2023): 230. http://dx.doi.org/10.3390/electronics12010230.
Texto completo da fonteChen, An. "(Invited, Digital Presentation) Emerging Materials and Devices for Energy-Efficient Computing". ECS Meeting Abstracts MA2022-01, n.º 19 (7 de julho de 2022): 1073. http://dx.doi.org/10.1149/ma2022-01191073mtgabs.
Texto completo da fonteJi, Xiaoyue, Donglian Qi, Zhekang Dong, Chun Sing Lai, Guangdong Zhou e Xiaofang Hu. "TSSM: Three-State Switchable Memristor Model Based on Ag/TiOx Nanobelt/Ti Configuration". International Journal of Bifurcation and Chaos 31, n.º 07 (15 de junho de 2021): 2130020. http://dx.doi.org/10.1142/s0218127421300202.
Texto completo da fontePrzyczyna, Dawid, Krzysztof Mech, Ewelina Kowalewska, Mateusz Marzec, Tomasz Mazur, Piotr Zawal e Konrad Szaciłowski. "The Memristive Properties and Spike Timing-Dependent Plasticity in Electrodeposited Copper Tungstates and Molybdates". Materials 16, n.º 20 (13 de outubro de 2023): 6675. http://dx.doi.org/10.3390/ma16206675.
Texto completo da fontePassian, Ali, e Neena Imam. "Nanosystems, Edge Computing, and the Next Generation Computing Systems". Sensors 19, n.º 18 (19 de setembro de 2019): 4048. http://dx.doi.org/10.3390/s19184048.
Texto completo da fonteSong, Young-Woong, Min-Kyu Song, Yoon Jeong Hyun, Daehwan Choi e J. Y. Kwon. "Fluoropolymer Passivation Enhanced Switching Endurance of MoS2 Memristors". ECS Meeting Abstracts MA2022-01, n.º 18 (7 de julho de 2022): 1029. http://dx.doi.org/10.1149/ma2022-01181029mtgabs.
Texto completo da fonteQin, Fei, e Sunghwan Lee. "(Digital Presentation) Investigation of Top Electrodes Impact on Performance of Transparent Amorphous Indium Gallium Zinc Oxide (a-InGaZnO) Based Resistive Random Access Memory". ECS Meeting Abstracts MA2022-01, n.º 19 (7 de julho de 2022): 1075. http://dx.doi.org/10.1149/ma2022-01191075mtgabs.
Texto completo da fonteWoo, Jiyong, Jeong Hun Kim, Jong‐Pil Im e Seung Eon Moon. "Recent Advancements in Emerging Neuromorphic Device Technologies". Advanced Intelligent Systems 2, n.º 10 (23 de agosto de 2020): 2000111. http://dx.doi.org/10.1002/aisy.202000111.
Texto completo da fonteZhou, Kui, Ziqi Jia, Xin-Qi Ma, Wenbiao Niu, Yao Zhou, Ning Huang, Guanglong Ding et al. "Manufacturing of graphene based synaptic devices for optoelectronic applications". International Journal of Extreme Manufacturing, 8 de agosto de 2023. http://dx.doi.org/10.1088/2631-7990/acee2e.
Texto completo da fonteWan, Changjin, Mengjiao Pei, Kailu Shi, Hangyuan Cui, Haotian Long, Lesheng Qiao, Qianye Xing e Qing Wan. "Toward a Brain‐Neuromorphics Interface". Advanced Materials, 10 de fevereiro de 2024. http://dx.doi.org/10.1002/adma.202311288.
Texto completo da fonteShen, Jiabin, Zengguang Cheng e Peng Zhou. "Optical and optoelectronic neuromorphic devices based on emerging memory technologies". Nanotechnology, 23 de maio de 2022. http://dx.doi.org/10.1088/1361-6528/ac723f.
Texto completo da fonteKim, Sungho, Hee-Dong Kim e Sung-Jin Choi. "Impact of Synaptic Device Variations on Classification Accuracy in a Binarized Neural Network". Scientific Reports 9, n.º 1 (23 de outubro de 2019). http://dx.doi.org/10.1038/s41598-019-51814-5.
Texto completo da fonteDonati, Elisa, e Giacomo Valle. "Neuromorphic hardware for somatosensory neuroprostheses". Nature Communications 15, n.º 1 (16 de janeiro de 2024). http://dx.doi.org/10.1038/s41467-024-44723-3.
Texto completo da fonteCovi, Erika, Elisa Donati, Xiangpeng Liang, David Kappel, Hadi Heidari, Melika Payvand e Wei Wang. "Adaptive Extreme Edge Computing for Wearable Devices". Frontiers in Neuroscience 15 (11 de maio de 2021). http://dx.doi.org/10.3389/fnins.2021.611300.
Texto completo da fonteDeng, Sunbin, Haoming Yu, Tae Joon Park, A. N. M. Nafiul Islam, Sukriti Manna, Alexandre Pofelski, Qi Wang et al. "Selective area doping for Mott neuromorphic electronics". Science Advances 9, n.º 11 (15 de março de 2023). http://dx.doi.org/10.1126/sciadv.ade4838.
Texto completo da fonteLiu, Xuerong, Cui Sun, Xiaoyu Ye, Xiaojian Zhu, Cong Hu, Hongwei Tan, Shang He, Mengjie Shao e Run‐Wei Li. "Neuromorphic Nanoionics for human‐machine Interaction: from Materials to Applications". Advanced Materials, 29 de fevereiro de 2024. http://dx.doi.org/10.1002/adma.202311472.
Texto completo da fonteIvanov, Dmitry, Aleksandr Chezhegov, Mikhail Kiselev, Andrey Grunin e Denis Larionov. "Neuromorphic artificial intelligence systems". Frontiers in Neuroscience 16 (14 de setembro de 2022). http://dx.doi.org/10.3389/fnins.2022.959626.
Texto completo da fonteKang, Kyowon, Kiho Kim, Junhyeong Baek, Doohyun J. Lee e Ki Jun Yu. "Biomimic and bioinspired soft neuromorphic tactile sensory system". Applied Physics Reviews 11, n.º 2 (1 de junho de 2024). http://dx.doi.org/10.1063/5.0204104.
Texto completo da fonteLi, Shen-Yi, Ji-Tuo Li, Kui Zhou, Yan Yan, Guanglong Ding, Su-Ting Han e Ye Zhou. "In-sensor neuromorphic computing using perovskites and transition metal dichalcogenides". Journal of Physics: Materials, 30 de maio de 2024. http://dx.doi.org/10.1088/2515-7639/ad5251.
Texto completo da fonteMerces, Leandro, Letícia Mariê Minatogau Ferro, Ali Nawaz e Prashant Sonar. "Advanced Neuromorphic Applications Enabled by Synaptic Ion‐Gating Vertical Transistors". Advanced Science, 17 de maio de 2024. http://dx.doi.org/10.1002/advs.202305611.
Texto completo da fonteBeilliard, Yann, e Fabien Alibart. "Multi-Terminal Memristive Devices Enabling Tunable Synaptic Plasticity in Neuromorphic Hardware: A Mini-Review". Frontiers in Nanotechnology 3 (19 de novembro de 2021). http://dx.doi.org/10.3389/fnano.2021.779070.
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