Articoli di riviste sul tema "Neuro inspired"
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Zhang, Wenqiang, Bin Gao, Jianshi Tang, Peng Yao, Shimeng Yu, Meng-Fan Chang, Hoi-Jun Yoo, He Qian e Huaqiang Wu. "Neuro-inspired computing chips". Nature Electronics 3, n. 7 (luglio 2020): 371–82. http://dx.doi.org/10.1038/s41928-020-0435-7.
Ghani, Arfan, Thomas Dowrick e Liam J. McDaid. "OSPEN: an open source platform for emulating neuromorphic hardware". International Journal of Reconfigurable and Embedded Systems (IJRES) 12, n. 1 (1 marzo 2023): 1. http://dx.doi.org/10.11591/ijres.v12.i1.pp1-8.
Harkhoe, Krishan, Guy Verschaffelt e Guy Van der Sande. "Neuro-Inspired Computing with Spin-VCSELs". Applied Sciences 11, n. 9 (7 maggio 2021): 4232. http://dx.doi.org/10.3390/app11094232.
Zhong, Xiaopin, e Lin Ma. "A Neuro-inspired Adaptive Motion Detector". Optics and Photonics Journal 03, n. 02 (2013): 94–98. http://dx.doi.org/10.4236/opj.2013.32b024.
Huang, Ping-Chen, e Jan M. Rabaey. "A Neuro-Inspired Spike Pattern Classifier". IEEE Journal on Emerging and Selected Topics in Circuits and Systems 8, n. 3 (settembre 2018): 555–65. http://dx.doi.org/10.1109/jetcas.2018.2842035.
Kahol, Kanav, e Sethuraman Panchanathan. "Neuro-cognitively inspired haptic user interfaces". Multimedia Tools and Applications 37, n. 1 (6 settembre 2007): 15–38. http://dx.doi.org/10.1007/s11042-007-0167-y.
GINGL, ZOLTAN, LASZLO B. KISH e SUNIL P. KHATRI. "TOWARDS BRAIN-INSPIRED COMPUTING". Fluctuation and Noise Letters 09, n. 04 (dicembre 2010): 403–12. http://dx.doi.org/10.1142/s0219477510000332.
Blachowicz, Tomasz, Jacek Grzybowski, Pawel Steblinski e Andrea Ehrmann. "Neuro-Inspired Signal Processing in Ferromagnetic Nanofibers". Biomimetics 6, n. 2 (26 maggio 2021): 32. http://dx.doi.org/10.3390/biomimetics6020032.
Yu, Shimeng. "Neuro-Inspired Computing With Emerging Nonvolatile Memorys". Proceedings of the IEEE 106, n. 2 (febbraio 2018): 260–85. http://dx.doi.org/10.1109/jproc.2018.2790840.
Dumitrache, Ioan, Simona Iuliana Caramihai, Mihnea Alexandru Moisescu e Ioan Stefan Sacala. "Neuro-inspired Framework for cognitive manufacturing control". IFAC-PapersOnLine 52, n. 13 (2019): 910–15. http://dx.doi.org/10.1016/j.ifacol.2019.11.311.
Marco-Detchart, Cedric, Giancarlo Lucca, Carlos Lopez-Molina, Laura De Miguel, Graçaliz Pereira Dimuro e Humberto Bustince. "Neuro-inspired edge feature fusion using Choquet integrals". Information Sciences 581 (dicembre 2021): 740–54. http://dx.doi.org/10.1016/j.ins.2021.10.016.
Wang, Panni, e Shimeng Yu. "Ferroelectric devices and circuits for neuro-inspired computing". MRS Communications 10, n. 4 (21 settembre 2020): 538–48. http://dx.doi.org/10.1557/mrc.2020.71.
Shi, Yuanhong, Qilin Hua, Zilong Dong, Bingjun Wang, Xinhuan Dai, Jianan Niu, Zhaowei Cui, Tianci Huang, Zhong Lin Wang e Weiguo Hu. "Neuro-inspired thermoresponsive nociceptor for intelligent sensory systems". Nano Energy 113 (agosto 2023): 108549. http://dx.doi.org/10.1016/j.nanoen.2023.108549.
He, Yongli, Yixin Zhu e Qing Wan. "Oxide Ionic Neuro-Transistors for Bio-inspired Computing". Nanomaterials 14, n. 7 (27 marzo 2024): 584. http://dx.doi.org/10.3390/nano14070584.
Birzhanova, Aigerim, Aliya Nurgaliyeva, Azhar Nurmagambetova, Hasan Dinçer e Serhat Yüksel. "Neuro quantum-inspired decision-making for investor perception in green and conventional bond investments". Investment Management and Financial Innovations 21, n. 1 (9 febbraio 2024): 168–84. http://dx.doi.org/10.21511/imfi.21(1).2024.14.
Wang, Qiang, Gang Niu, Wei Ren, Ruobing Wang, Xiaogang Chen, Xi Li, Zuo‐Guang Ye, Ya‐Hong Xie, Sannian Song e Zhitang Song. "Phase Change Random Access Memory for Neuro‐Inspired Computing". Advanced Electronic Materials 7, n. 6 (17 marzo 2021): 2001241. http://dx.doi.org/10.1002/aelm.202001241.
Kuzum, Duygu. "Neuro-Inspired Computing with Resistive Switching Devices [Guest Editorial]". IEEE Nanotechnology Magazine 12, n. 3 (settembre 2018): 4. http://dx.doi.org/10.1109/mnano.2018.2849799.
Chabi, Djaafar, Damien Querlioz, Weisheng Zhao e Jacques-Olivier Klein. "Robust learning approach for neuro-inspired nanoscale crossbar architecture". ACM Journal on Emerging Technologies in Computing Systems 10, n. 1 (gennaio 2014): 1–20. http://dx.doi.org/10.1145/2539123.
Shoureshi, Rahmat A., Tracy Schantz e Sun W. Lim. "Bio-inspired neuro-symbolic approach to diagnostics of structures". Smart Structures and Systems 7, n. 3 (25 marzo 2011): 229–40. http://dx.doi.org/10.12989/sss.2011.7.3.229.
Moghaddam, Mohsen, Qiliang Chen e Abhijit V. Deshmukh. "A neuro-inspired computational model for adaptive fault diagnosis". Expert Systems with Applications 140 (febbraio 2020): 112879. http://dx.doi.org/10.1016/j.eswa.2019.112879.
Mozaffari, Ahmad, Alireza Fathi e Saeed Behzadipour. "An evolvable self-organizing neuro-fuzzy multilayered classifier with group method data handling and grammar-based bio-inspired supervisors for fault diagnosis of hydraulic systems". International Journal of Intelligent Computing and Cybernetics 7, n. 1 (4 marzo 2014): 38–78. http://dx.doi.org/10.1108/ijicc-06-2013-0034.
Hafsi, Bilel, Rabii Elmissaoui e Adel Kalboussi. "Neural Network Based on SET Inverter Structures: Neuro-Inspired Memory". World Journal of Nano Science and Engineering 04, n. 04 (2014): 134–42. http://dx.doi.org/10.4236/wjnse.2014.44017.
Mahmoudi, Maryam Tayefeh, Fattaneh Taghiyareh e Babak N. Araabi. "A neuro-fuzzy immune inspired classifier for task-oriented texts". Journal of Intelligent & Fuzzy Systems 25, n. 3 (2013): 673–83. http://dx.doi.org/10.3233/ifs-120674.
Hamilton, Tara Julia, Saeed Afshar, Andre van Schaik e Jonathan Tapson. "Stochastic Electronics: A Neuro-Inspired Design Paradigm for Integrated Circuits". Proceedings of the IEEE 102, n. 5 (maggio 2014): 843–59. http://dx.doi.org/10.1109/jproc.2014.2310713.
Corchado, E., e M. Wozniak. "Editorial: Neuro-symbolic Algorithms and Models for Bio-inspired Systems". Logic Journal of IGPL 19, n. 2 (8 luglio 2010): 289–92. http://dx.doi.org/10.1093/jigpal/jzq026.
Galluccio, Laura, Sergio Palazzo e G. Enrico Santagati. "Characterization of molecular communications among implantable biomedical neuro-inspired nanodevices". Nano Communication Networks 4, n. 2 (giugno 2013): 53–64. http://dx.doi.org/10.1016/j.nancom.2013.03.001.
Tang, Huajin, Rui Yan e Kay Chen Tan. "Cognitive Navigation by Neuro-Inspired Localization, Mapping, and Episodic Memory". IEEE Transactions on Cognitive and Developmental Systems 10, n. 3 (settembre 2018): 751–61. http://dx.doi.org/10.1109/tcds.2017.2776965.
Guglielmelli, E. "S6.2 Neurorobotics: understanding the brain by building neuro-inspired robots". Clinical Neurophysiology 122 (giugno 2011): S14. http://dx.doi.org/10.1016/s1388-2457(11)60045-x.
Zhang, Wenbin, Peng Yao, Bin Gao, Qi Liu, Dong Wu, Qingtian Zhang, Yuankun Li et al. "Edge learning using a fully integrated neuro-inspired memristor chip". Science 381, n. 6663 (15 settembre 2023): 1205–11. http://dx.doi.org/10.1126/science.ade3483.
Soures, Nicholas, Vedant Karia e Dhireesha Kudithipudi. "Advancing Neuro-Inspired Lifelong Learning for Edge with Co-Design". Proceedings of the AAAI Symposium Series 3, n. 1 (20 maggio 2024): 317. http://dx.doi.org/10.1609/aaaiss.v3i1.31226.
Ding, Keyuan, Jiangjing Wang, Yuxing Zhou, He Tian, Lu Lu, Riccardo Mazzarello, Chunlin Jia, Wei Zhang, Feng Rao e Evan Ma. "Phase-change heterostructure enables ultralow noise and drift for memory operation". Science 366, n. 6462 (22 agosto 2019): 210–15. http://dx.doi.org/10.1126/science.aay0291.
Pruthi, Dimple, e Rashmi Bhardwaj. "Modeling air quality index using optimized neuronal networks inspired by swarms". Environmental Engineering Research 26, n. 6 (27 novembre 2020): 200469–0. http://dx.doi.org/10.4491/eer.2020.469.
Djahafi, Fatiha, e Abdelkader Gafour. "Neuro-Immune Model Based on Bio-Inspired Methods for Medical Diagnosis". International Journal of Ambient Computing and Intelligence 13, n. 1 (gennaio 2022): 1–18. http://dx.doi.org/10.4018/ijaci.293176.
Luo, Yuan-Chun, Jae Hur e Shimeng Yu. "Ferroelectric Tunnel Junction Based Crossbar Array Design for Neuro-Inspired Computing". IEEE Transactions on Nanotechnology 20 (2021): 243–47. http://dx.doi.org/10.1109/tnano.2021.3066319.
Susi, Gianluca, Simone Acciarito, Teodoro Pascual, Alessandro Cristini e Fernando Maestú. "Towards Neuro-Inspired Electronic Oscillators Based on The Dynamical Relaying Mechanism". International Journal on Advanced Science, Engineering and Information Technology 9, n. 2 (12 aprile 2019): 569. http://dx.doi.org/10.18517/ijaseit.9.2.8347.
Wang, Fu-Cheng, Yu-You Lin, You-Chi Li, Po-Yin Chen e Chung-Huang Yu. "Development of an Automated Assistive Trainer Inspired by Neuro-developmental Treatment". Sensors and Materials 32, n. 9 (30 settembre 2020): 3019. http://dx.doi.org/10.18494/sam.2020.2708.
Lee, Wang Wei, Yu Jun Tan, Haicheng Yao, Si Li, Hian Hian See, Matthew Hon, Kian Ann Ng, Betty Xiong, John S. Ho e Benjamin C. K. Tee. "A neuro-inspired artificial peripheral nervous system for scalable electronic skins". Science Robotics 4, n. 32 (17 luglio 2019): eaax2198. http://dx.doi.org/10.1126/scirobotics.aax2198.
Fellous, Jean-Marc, Peter Dominey e Alfredo Weitzenfeld. "Complex spatial navigation in animals, computational models and neuro-inspired robots". Biological Cybernetics 114, n. 2 (aprile 2020): 137–38. http://dx.doi.org/10.1007/s00422-020-00832-y.
Nebti, Salima, e Abdellah Boukerram. "Handwritten characters recognition based on nature-inspired computing and neuro-evolution". Applied Intelligence 38, n. 2 (21 giugno 2012): 146–59. http://dx.doi.org/10.1007/s10489-012-0362-z.
Pagkalos, Michalis, Roman Makarov e Panayiota Poirazi. "Leveraging dendritic properties to advance machine learning and neuro-inspired computing". Current Opinion in Neurobiology 85 (aprile 2024): 102853. http://dx.doi.org/10.1016/j.conb.2024.102853.
Prashanth, Basutkar Umamaheshwar Venkata, e Mohammed Riyaz Ahmed. "Design and Implementation of Reconfigurable Neuro-Inspired Computing Model on a FPGA". Advances in Science, Technology and Engineering Systems Journal 5, n. 5 (2020): 332–41. http://dx.doi.org/10.25046/aj050541.
Gorzalczany, Marian B., e Zdzislaw Piasta. "Neuro-fuzzy approach versus rough-set inspired methodology for intelligent decision support". Information Sciences 120, n. 1-4 (novembre 1999): 45–68. http://dx.doi.org/10.1016/s0020-0255(99)00070-5.
Bennett, Christopher H., Jean-Etienne Lorival, Francois Marc, Theo Cabaret, Bruno Jousselme, Vincent Derycke, Jacques-Olivier Klein e Cristell Maneux. "Multiscaled Simulation Methodology for Neuro-Inspired Circuits Demonstrated with an Organic Memristor". IEEE Transactions on Multi-Scale Computing Systems 4, n. 4 (1 ottobre 2018): 822–32. http://dx.doi.org/10.1109/tmscs.2017.2773523.
Ng, G. S., F. Liu, T. F. Loh e C. Quek. "A novel brain-inspired neuro-fuzzy hybrid system for artificial ventilation modeling". Expert Systems with Applications 39, n. 15 (novembre 2012): 11808–17. http://dx.doi.org/10.1016/j.eswa.2012.01.028.
Yan, Yan, Kamen Ivanov, Olatunji Mumini Omisore, Tobore Igbe, Qiuhua Liu, Zedong Nie e Lei Wang. "Gait Rhythm Dynamics for Neuro-Degenerative Disease Classification via Persistence Landscape- Based Topological Representation". Sensors 20, n. 7 (3 aprile 2020): 2006. http://dx.doi.org/10.3390/s20072006.
Yousefi, Bardia, e Chu Kiong Loo. "Biologically-Inspired Computational Neural Mechanism for Human Action/activity Recognition: A Review". Electronics 8, n. 10 (15 ottobre 2019): 1169. http://dx.doi.org/10.3390/electronics8101169.
Arena, Paolo, Luca Patanè e Salvatore Taffara. "Energy Efficiency of a Quadruped Robot with Neuro-Inspired Control in Complex Environments". Energies 14, n. 2 (14 gennaio 2021): 433. http://dx.doi.org/10.3390/en14020433.
Kuncic, Zdenka, e Tomonobu Nakayama. "Neuromorphic nanowire networks: principles, progress and future prospects for neuro-inspired information processing". Advances in Physics: X 6, n. 1 (1 gennaio 2021): 1894234. http://dx.doi.org/10.1080/23746149.2021.1894234.
Munawar, Asim. "How a shopping mall trip inspired me to work in neuro-symbolic AI". Communications of the ACM 65, n. 5 (aprile 2022): 11. http://dx.doi.org/10.1145/3528571.
Ymaji, Yuuki, Eisaku Horiguchi e Hirotsugu OKUNO. "FPGA implementation of a neuro-inspired algorithm for spatio-temporal visual feature extraction". Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec) 2021 (2021): 2P2—H08. http://dx.doi.org/10.1299/jsmermd.2021.2p2-h08.