Artículos de revistas sobre el tema "Neuromorphic platform"
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Urgese, Gianvito, Francesco Barchi, Emanuele Parisi, Evelina Forno, Andrea Acquaviva y Enrico Macii. "Benchmarking a Many-Core Neuromorphic Platform With an MPI-Based DNA Sequence Matching Algorithm". Electronics 8, n.º 11 (14 de noviembre de 2019): 1342. http://dx.doi.org/10.3390/electronics8111342.
Texto completoPerez-Peña, Fernando, M. Angeles Cifredo-Chacon y Angel Quiros-Olozabal. "Digital neuromorphic real-time platform". Neurocomputing 371 (enero de 2020): 91–99. http://dx.doi.org/10.1016/j.neucom.2019.09.004.
Texto completoRusso, Nicola, Haochun Huang, Eugenio Donati, Thomas Madsen y Konstantin Nikolic. "An Interface Platform for Robotic Neuromorphic Systems". Chips 2, n.º 1 (1 de febrero de 2023): 20–30. http://dx.doi.org/10.3390/chips2010002.
Texto completoWang, Junyi. "A Review of Spiking Neural Networks". SHS Web of Conferences 144 (2022): 03004. http://dx.doi.org/10.1051/shsconf/202214403004.
Texto completoZhai, Yongbiao, Peng Xie, Jiahui Hu, Xue Chen, Zihao Feng, Ziyu Lv, Guanglong Ding, Kui Zhou, Ye Zhou y Su-Ting Han. "Reconfigurable 2D-ferroelectric platform for neuromorphic computing". Applied Physics Reviews 10, n.º 1 (marzo de 2023): 011408. http://dx.doi.org/10.1063/5.0131838.
Texto completoBoldman, Walker L., Cheng Zhang, Thomas Z. Ward, Dayrl P. Briggs, Bernadeta R. Srijanto, Philip Brisk y Philip D. Rack. "Programmable Electrofluidics for Ionic Liquid Based Neuromorphic Platform". Micromachines 10, n.º 7 (17 de julio de 2019): 478. http://dx.doi.org/10.3390/mi10070478.
Texto completoTang, Jianbin, Benjamin Scott Mashford y Antonio Jimeno Yepes. "Semantic Labeling Using a Low-Power Neuromorphic Platform". IEEE Geoscience and Remote Sensing Letters 15, n.º 8 (agosto de 2018): 1184–88. http://dx.doi.org/10.1109/lgrs.2018.2834522.
Texto completoBose, Saurabh K., Joshua B. Mallinson, Edoardo Galli, Susant K. Acharya, Chloé Minnai, Philip J. Bones y Simon A. Brown. "Neuromorphic behaviour in discontinuous metal films". Nanoscale Horizons 7, n.º 4 (2022): 437–45. http://dx.doi.org/10.1039/d1nh00620g.
Texto completoSugiarto, Indar y Felix Pasila. "Understanding a Deep Learning Technique through a Neuromorphic System a Case Study with SpiNNaker Neuromorphic Platform". MATEC Web of Conferences 164 (2018): 01015. http://dx.doi.org/10.1051/matecconf/201816401015.
Texto completoPetrov, A., L. Alekseeva, A. Ivanov, V. Luchinin, A. Romanov, T. Chikyow y T. Nabatame. "On the way to a neuromorphic memristor computer platform". Nanoindustry Russia, n.º 1 (2016): 94–109. http://dx.doi.org/10.22184/1993-8578.2016.63.1.94.109.
Texto completoGhani, Arfan, Thomas Dowrick y Liam J. McDaid. "OSPEN: an open source platform for emulating neuromorphic hardware". International Journal of Reconfigurable and Embedded Systems (IJRES) 12, n.º 1 (1 de marzo de 2023): 1. http://dx.doi.org/10.11591/ijres.v12.i1.pp1-8.
Texto completoBradley, H., S. Louis, C. Trevillian, L. Quach, E. Bankowski, A. Slavin y V. Tyberkevych. "Artificial neurons based on antiferromagnetic auto-oscillators as a platform for neuromorphic computing". AIP Advances 13, n.º 1 (1 de enero de 2023): 015206. http://dx.doi.org/10.1063/5.0128530.
Texto completoVanarse, Anup, Adam Osseiran, Alexander Rassau y Peter van der Made. "Application of Neuromorphic Olfactory Approach for High-Accuracy Classification of Malts". Sensors 22, n.º 2 (7 de enero de 2022): 440. http://dx.doi.org/10.3390/s22020440.
Texto completoDevyatisil’nyi, A. S. "System for neuromorphic estimation of rotation of a mobile technological platform". Technical Physics 58, n.º 7 (julio de 2013): 946–49. http://dx.doi.org/10.1134/s1063784213070050.
Texto completoKösters, Dominique J., Bryan A. Kortman, Irem Boybat, Elena Ferro, Sagar Dolas, Roberto Ruiz de Austri, Johan Kwisthout et al. "Benchmarking energy consumption and latency for neuromorphic computing in condensed matter and particle physics". APL Machine Learning 1, n.º 1 (1 de marzo de 2023): 016101. http://dx.doi.org/10.1063/5.0116699.
Texto completoFerreira de Lima, Thomas, Alexander N. Tait, Armin Mehrabian, Mitchell A. Nahmias, Chaoran Huang, Hsuan-Tung Peng, Bicky A. Marquez et al. "Primer on silicon neuromorphic photonic processors: architecture and compiler". Nanophotonics 9, n.º 13 (10 de agosto de 2020): 4055–73. http://dx.doi.org/10.1515/nanoph-2020-0172.
Texto completoKim, Jaeseop, Seungyeon Lee y Jiman Hong. "Reduction of Inference time in Neuromorphic Based Platform for IoT Computing Environments". Korean Institute of Smart Media 11, n.º 2 (30 de marzo de 2022): 77–83. http://dx.doi.org/10.30693/smj.2022.11.2.77.
Texto completoDevyatisil’nyi, A. S. "Neuromorphic expansion of the GLONASS onboard functions for a mobile technological platform". Technical Physics 60, n.º 10 (octubre de 2015): 1419–22. http://dx.doi.org/10.1134/s1063784215100114.
Texto completoSingh, Jagmeet, Hugh Morison, Zhimu Guo, Bicky A. Marquez, Omid Esmaeeli, Paul R. Prucnal, Lukas Chrostowski, Sudip Shekhar y Bhavin J. Shastri. "Neuromorphic photonic circuit modeling in Verilog-A". APL Photonics 7, n.º 4 (1 de abril de 2022): 046103. http://dx.doi.org/10.1063/5.0079984.
Texto completoForno, Evelina, Alessandro Salvato, Enrico Macii y Gianvito Urgese. "PageRank Implemented with the MPI Paradigm Running on a Many-Core Neuromorphic Platform". Journal of Low Power Electronics and Applications 11, n.º 2 (28 de mayo de 2021): 25. http://dx.doi.org/10.3390/jlpea11020025.
Texto completoZhang, Zhen, Yifei Sun y Hai-Tian Zhang. "Quantum nickelate platform for future multidisciplinary research". Journal of Applied Physics 131, n.º 12 (28 de marzo de 2022): 120901. http://dx.doi.org/10.1063/5.0084784.
Texto completoLiu, Y. H., L. Chen, X. W. Li, Y. C. Wu, S. Liu, J. J. Wang, S. G. Hu, Q. Yu, T. P. Chen y Y. Liu. "Epilepsy detection with artificial neural network based on as-fabricated neuromorphic chip platform". AIP Advances 12, n.º 3 (1 de marzo de 2022): 035106. http://dx.doi.org/10.1063/5.0075761.
Texto completoHan, Xu, Yimeng Xu, Bowen Sun, Ruixue Xu, Jing Xu, Wang Hong, Zhiwei Fu et al. "Highly transparent flexible artificial nociceptor based on forming-free ITO memristor". Applied Physics Letters 120, n.º 9 (28 de febrero de 2022): 094103. http://dx.doi.org/10.1063/5.0082538.
Texto completoChaudhary, Mayur y Yu-Lun Chueh. "Dual Threshold and Memory Switching Induced By Conducting Filament Morphology in Ag/WSe2 Based ECM Cell". ECS Meeting Abstracts MA2022-02, n.º 36 (9 de octubre de 2022): 1334. http://dx.doi.org/10.1149/ma2022-02361334mtgabs.
Texto completoJin, Chenxing, Wanrong Liu, Yulong Huang, Yunchao Xu, Yiling Nie, Gengming Zhang, Pei He, Jia Sun y Junliang Yang. "Printable ion-gel-gated In2O3 synaptic transistor array for neuro-inspired memory". Applied Physics Letters 120, n.º 23 (6 de junio de 2022): 233701. http://dx.doi.org/10.1063/5.0092968.
Texto completoMallinson, J. B., S. Shirai, S. K. Acharya, S. K. Bose, E. Galli y S. A. Brown. "Avalanches and criticality in self-organized nanoscale networks". Science Advances 5, n.º 11 (noviembre de 2019): eaaw8438. http://dx.doi.org/10.1126/sciadv.aaw8438.
Texto completoShahsavari, Mahyar, Jonathan Beaumont, David Thomas y Andrew D. Brown. "POETS: A Parallel Cluster Architecture for Spiking Neural Network". International Journal of Machine Learning and Computing 11, n.º 4 (agosto de 2021): 281–85. http://dx.doi.org/10.18178/ijmlc.2021.11.4.1048.
Texto completoDominguez-Morales, Juan P., D. Gutierrez-Galan, A. Rios-Navarro, L. Duran-Lopez, M. Dominguez-Morales y A. Jimenez-Fernandez. "pyNAVIS: An open-source cross-platform software for spike-based neuromorphic audio information processing". Neurocomputing 449 (agosto de 2021): 172–75. http://dx.doi.org/10.1016/j.neucom.2021.03.121.
Texto completoCheng, Ran, Khalid B. Mirza y Konstantin Nikolic. "Neuromorphic Robotic Platform with Visual Input, Processor and Actuator, Based on Spiking Neural Networks". Applied System Innovation 3, n.º 2 (24 de junio de 2020): 28. http://dx.doi.org/10.3390/asi3020028.
Texto completoWu, Chaoxing, Yongai Zhang, Xiongtu Zhou, Dianlun Li, Jae Hyeon Park, Haoqun An, Sihyun Sung et al. "Binary Electronic Synapses for Integrating Digital and Neuromorphic Computation in a Single Physical Platform". ACS Applied Materials & Interfaces 12, n.º 14 (16 de marzo de 2020): 17130–38. http://dx.doi.org/10.1021/acsami.0c02145.
Texto completoWilby, Mark Richard, Ana Belén Rodríguez González, Juan José Vinagre Díaz y Jesús Requena Carrión. "Neuromorphic Sensor Network Platform: A Bioinspired Tool to Grow Applications in Wireless Sensor Networks". International Journal of Distributed Sensor Networks 11, n.º 6 (enero de 2015): 230401. http://dx.doi.org/10.1155/2015/230401.
Texto completoChen, Guang, Zhenshan Bing, Florian Rohrbein, Jorg Conradt, Kai Huang, Long Cheng, Zhuangyi Jiang y Alois Knoll. "Toward Brain-Inspired Learning With the Neuromorphic Snake-Like Robot and the Neurorobotic Platform". IEEE Transactions on Cognitive and Developmental Systems 11, n.º 1 (marzo de 2019): 1–12. http://dx.doi.org/10.1109/tcds.2017.2712712.
Texto completoD’Abbraccio, Jessica, Luca Massari, Sahana Prasanna, Laura Baldini, Francesca Sorgini, Giuseppe Airò Farulla, Andrea Bulletti et al. "Haptic Glove and Platform with Gestural Control For Neuromorphic Tactile Sensory Feedback In Medical Telepresence †". Sensors 19, n.º 3 (3 de febrero de 2019): 641. http://dx.doi.org/10.3390/s19030641.
Texto completoChen, Li, Mei Er Pam, Sifan Li y Kah-Wee Ang. "Ferroelectric memory based on two-dimensional materials for neuromorphic computing". Neuromorphic Computing and Engineering 2, n.º 2 (25 de marzo de 2022): 022001. http://dx.doi.org/10.1088/2634-4386/ac57cb.
Texto completoGoteti, Uday S., Ivan A. Zaluzhnyy, Shriram Ramanathan, Robert C. Dynes y Alex Frano. "Low-temperature emergent neuromorphic networks with correlated oxide devices". Proceedings of the National Academy of Sciences 118, n.º 35 (25 de agosto de 2021): e2103934118. http://dx.doi.org/10.1073/pnas.2103934118.
Texto completoDevyatisil’nyi, A. S. "Inertial satellite neuromorphic system for estimation of the rotation parameters of a mobile technological platform". Technical Physics 59, n.º 10 (octubre de 2014): 1424–27. http://dx.doi.org/10.1134/s1063784214100120.
Texto completoAdda, C., H. Navarro, J. Kaur, M. H. Lee, C. Chen, M. Rozenberg, S. P. Ong y Ivan K. Schuller. "An optoelectronic heterostructure for neuromorphic computing: CdS/V3O5". Applied Physics Letters 121, n.º 4 (25 de julio de 2022): 041901. http://dx.doi.org/10.1063/5.0103650.
Texto completoDevyatisilnyi, A. S. y K. A. Chislov. "Neuromorphic estimation of motion parameters for geodesic platform with non-nuclear tuning mechanism of synaptic coefficients". Geodesy and Cartography 904, n.º 10 (20 de noviembre de 2015): 8–12. http://dx.doi.org/10.22389/0016-7126-2015-904-10-8-12.
Texto completoSugiarto, Indar y Steve Furber. "Fine-grained or coarse-grained? Strategies for implementing parallel genetic algorithms in a programmable neuromorphic platform". TELKOMNIKA (Telecommunication Computing Electronics and Control) 19, n.º 1 (1 de febrero de 2021): 182. http://dx.doi.org/10.12928/telkomnika.v19i1.15026.
Texto completoYi, Ailun, Chengli Wang, Liping Zhou, Yifan Zhu, Shibin Zhang, Tiangui You, Jiaxiang Zhang y Xin Ou. "Silicon carbide for integrated photonics". Applied Physics Reviews 9, n.º 3 (septiembre de 2022): 031302. http://dx.doi.org/10.1063/5.0079649.
Texto completoPatiño-Saucedo, Alberto, Horacio Rostro-Gonzalez, Teresa Serrano-Gotarredona y Bernabé Linares-Barranco. "Event-driven implementation of deep spiking convolutional neural networks for supervised classification using the SpiNNaker neuromorphic platform". Neural Networks 121 (enero de 2020): 319–28. http://dx.doi.org/10.1016/j.neunet.2019.09.008.
Texto completoMontano, Kevin, Gianluca Milano y Carlo Ricciardi. "Grid-graph modeling of emergent neuromorphic dynamics and heterosynaptic plasticity in memristive nanonetworks". Neuromorphic Computing and Engineering 2, n.º 1 (11 de febrero de 2022): 014007. http://dx.doi.org/10.1088/2634-4386/ac4d86.
Texto completoVanarse, Anup, Adam Osseiran, Alexander Rassau y Peter van der Made. "A Hardware-Deployable Neuromorphic Solution for Encoding and Classification of Electronic Nose Data". Sensors 19, n.º 22 (6 de noviembre de 2019): 4831. http://dx.doi.org/10.3390/s19224831.
Texto completoMonalisha, P., Shengyao Li, Shwetha G. Bhat, Tianli Jin, P. S. Anil Kumar y S. N. Piramanayagam. "Synaptic behavior of Fe3O4-based artificial synapse by electrolyte gating for neuromorphic computing". Journal of Applied Physics 133, n.º 8 (28 de febrero de 2023): 084901. http://dx.doi.org/10.1063/5.0120854.
Texto completoMin, Jin-Gi, Hamin Park y Won-Ju Cho. "Milk–Ta2O5 Hybrid Memristors with Crossbar Array Structure for Bio-Organic Neuromorphic Chip Applications". Nanomaterials 12, n.º 17 (28 de agosto de 2022): 2978. http://dx.doi.org/10.3390/nano12172978.
Texto completoMa, Mangyuan, Ke Huang, Yong Li, Sihua Li, Qiyuan Feng, Calvin Ching Ian Ang, Tianli Jin et al. "Nano-engineering the evolution of skyrmion crystal in synthetic antiferromagnets". Applied Physics Reviews 9, n.º 2 (junio de 2022): 021404. http://dx.doi.org/10.1063/5.0081455.
Texto completoPradhan, Basudev, Sonali Das, Jinxin Li, Farzana Chowdhury, Jayesh Cherusseri, Deepak Pandey, Durjoy Dev et al. "Ultrasensitive and ultrathin phototransistors and photonic synapses using perovskite quantum dots grown from graphene lattice". Science Advances 6, n.º 7 (febrero de 2020): eaay5225. http://dx.doi.org/10.1126/sciadv.aay5225.
Texto completoHughes, Mark A., Mike J. Shipston y Alan F. Murray. "Towards a ‘siliconeural computer’: technological successes and challenges". Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 373, n.º 2046 (28 de julio de 2015): 20140217. http://dx.doi.org/10.1098/rsta.2014.0217.
Texto completoYanushkevich, Svetlana, Hong Tran, Golam Tangim, Vladimir Shmerko, Elena Zaitseva y 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 completoLee, Wang Wei, Yu Jun Tan, Haicheng Yao, Si Li, Hian Hian See, Matthew Hon, Kian Ann Ng, Betty Xiong, John S. Ho y Benjamin C. K. Tee. "A neuro-inspired artificial peripheral nervous system for scalable electronic skins". Science Robotics 4, n.º 32 (17 de julio de 2019): eaax2198. http://dx.doi.org/10.1126/scirobotics.aax2198.
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