A low-power vertical dual-gate neurotransistor with short-term memory for high energy-efficient neuromorphic computing
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DOI: 10.1038/s41467-023-42172-y
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- Andre Esteva & Brett Kuprel & Roberto A. Novoa & Justin Ko & Susan M. Swetter & Helen M. Blau & Sebastian Thrun, 2017. "Correction: Corrigendum: Dermatologist-level classification of skin cancer with deep neural networks," Nature, Nature, vol. 546(7660), pages 686-686, June.
- Xiahui Yao & Konstantin Klyukin & Wenjie Lu & Murat Onen & Seungchan Ryu & Dongha Kim & Nicolas Emond & Iradwikanari Waluyo & Adrian Hunt & Jesús A. del Alamo & Ju Li & Bilge Yildiz, 2020. "Protonic solid-state electrochemical synapse for physical neural networks," Nature Communications, Nature, vol. 11(1), pages 1-10, December.
- Yongsuk Choi & Seyong Oh & Chuan Qian & Jin-Hong Park & Jeong Ho Cho, 2020. "Vertical organic synapse expandable to 3D crossbar array," Nature Communications, Nature, vol. 11(1), pages 1-9, December.
- M. Prezioso & F. Merrikh-Bayat & B. D. Hoskins & G. C. Adam & K. K. Likharev & D. B. Strukov, 2015. "Training and operation of an integrated neuromorphic network based on metal-oxide memristors," Nature, Nature, vol. 521(7550), pages 61-64, May.
- Zhongrui Wang & Mingyi Rao & Jin-Woo Han & Jiaming Zhang & Peng Lin & Yunning Li & Can Li & Wenhao Song & Shiva Asapu & Rivu Midya & Ye Zhuo & Hao Jiang & Jung Ho Yoon & Navnidhi Kumar Upadhyay & Saum, 2018. "Capacitive neural network with neuro-transistors," Nature Communications, Nature, vol. 9(1), pages 1-10, December.
- Sarbashis Das & Akhil Dodda & Saptarshi Das, 2019. "A biomimetic 2D transistor for audiomorphic computing," Nature Communications, Nature, vol. 10(1), pages 1-10, December.
- Idan Segev, 1998. "Sound grounds for computing dendrites," Nature, Nature, vol. 393(6682), pages 207-208, May.
- Andre Esteva & Brett Kuprel & Roberto A. Novoa & Justin Ko & Susan M. Swetter & Helen M. Blau & Sebastian Thrun, 2017. "Dermatologist-level classification of skin cancer with deep neural networks," Nature, Nature, vol. 542(7639), pages 115-118, February.
- Jian Shi & Sieu D. Ha & You Zhou & Frank Schoofs & Shriram Ramanathan, 2013. "A correlated nickelate synaptic transistor," Nature Communications, Nature, vol. 4(1), pages 1-9, December.
- Peng Yao & Huaqiang Wu & Bin Gao & Jianshi Tang & Qingtian Zhang & Wenqiang Zhang & J. Joshua Yang & He Qian, 2020. "Fully hardware-implemented memristor convolutional neural network," Nature, Nature, vol. 577(7792), pages 641-646, January.
- Alexei V. Egorov & Bassam N. Hamam & Erik Fransén & Michael E. Hasselmo & Angel A. Alonso, 2002. "Graded persistent activity in entorhinal cortex neurons," Nature, Nature, vol. 420(6912), pages 173-178, November.
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