An emergent attractor network in a passive resistive switching circuit
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DOI: 10.1038/s41467-024-52132-9
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- Xiaodong Yan & Zhiren Zheng & Vinod K. Sangwan & Justin H. Qian & Xueqiao Wang & Stephanie E. Liu & Kenji Watanabe & Takashi Taniguchi & Su-Yang Xu & Pablo Jarillo-Herrero & Qiong Ma & Mark C. Hersam, 2023. "Moiré synaptic transistor with room-temperature neuromorphic functionality," Nature, Nature, vol. 624(7992), pages 551-556, December.
- Weier Wan & Rajkumar Kubendran & Clemens Schaefer & Sukru Burc Eryilmaz & Wenqiang Zhang & Dabin Wu & Stephen Deiss & Priyanka Raina & He Qian & Bin Gao & Siddharth Joshi & Huaqiang Wu & H.-S. Philip , 2022. "A compute-in-memory chip based on resistive random-access memory," Nature, Nature, vol. 608(7923), pages 504-512, August.
- Julien Borghetti & Gregory S. Snider & Philip J. Kuekes & J. Joshua Yang & Duncan R. Stewart & R. Stanley Williams, 2010. "‘Memristive’ switches enable ‘stateful’ logic operations via material implication," Nature, Nature, vol. 464(7290), pages 873-876, April.
- M. Prezioso & M. R. Mahmoodi & F. Merrikh Bayat & H. Nili & H. Kim & A. Vincent & D. B. Strukov, 2018. "Spike-timing-dependent plasticity learning of coincidence detection with passively integrated memristive circuits," Nature Communications, Nature, vol. 9(1), pages 1-8, December.
- S.G. Hu & Y. Liu & Z Liu & T.P. Chen & J.J. Wang & Q. Yu & L.J. Deng & Y. Yin & Sumio Hosaka, 2015. "Associative memory realized by a reconfigurable memristive Hopfield neural network," Nature Communications, Nature, vol. 6(1), pages 1-8, November.
- S. Ambrogio & P. Narayanan & A. Okazaki & A. Fasoli & C. Mackin & K. Hosokawa & A. Nomura & T. Yasuda & A. Chen & A. Friz & M. Ishii & J. Luquin & Y. Kohda & N. Saulnier & K. Brew & S. Choi & I. Ok & , 2023. "An analog-AI chip for energy-efficient speech recognition and transcription," Nature, Nature, vol. 620(7975), pages 768-775, August.
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