A citation-based method for searching scientific literature

Paul A Merolla, John V Arthur, Rodrigo Alvarez-Icaza, Andrew S Cassidy, Jun Sawada, Filipp Akopyan, Bryan L Jackson, Nabil Imam, Chen Guo, Yutaka Nakamura, Bernard Brezzo, Ivan Vo, Steven K Esser, Rathinakumar Appuswamy, Brian Taba, Arnon Amir, Myron D Flickner, William P Risk, Rajit Manohar, Dharmendra S Modha. Science 2014
Times Cited: 499







List of co-cited articles
440 articles co-cited >1



Times Cited
  Times     Co-cited
Similarity


Training and operation of an integrated neuromorphic network based on metal-oxide memristors.
M Prezioso, F Merrikh-Bayat, B D Hoskins, G C Adam, K K Likharev, D B Strukov. Nature 2015
413
17

Nanoscale memristor device as synapse in neuromorphic systems.
Sung Hyun Jo, Ting Chang, Idongesit Ebong, Bhavitavya B Bhadviya, Pinaki Mazumder, Wei Lu. Nano Lett 2010
676
15

A non-volatile organic electrochemical device as a low-voltage artificial synapse for neuromorphic computing.
Yoeri van de Burgt, Ewout Lubberman, Elliot J Fuller, Scott T Keene, Grégorio C Faria, Sapan Agarwal, Matthew J Marinella, A Alec Talin, Alberto Salleo. Nat Mater 2017
301
15

Neuromorphic computing with multi-memristive synapses.
Irem Boybat, Manuel Le Gallo, S R Nandakumar, Timoleon Moraitis, Thomas Parnell, Tomas Tuma, Bipin Rajendran, Yusuf Leblebici, Abu Sebastian, Evangelos Eleftheriou. Nat Commun 2018
93
13

Memristors with diffusive dynamics as synaptic emulators for neuromorphic computing.
Zhongrui Wang, Saumil Joshi, Sergey E Savel'ev, Hao Jiang, Rivu Midya, Peng Lin, Miao Hu, Ning Ge, John Paul Strachan, Zhiyong Li,[...]. Nat Mater 2017
374
13

Memristive crossbar arrays for brain-inspired computing.
Qiangfei Xia, J Joshua Yang. Nat Mater 2019
157
13

Deep learning.
Yann LeCun, Yoshua Bengio, Geoffrey Hinton. Nature 2015
13

Neuromorphic silicon neuron circuits.
Giacomo Indiveri, Bernabé Linares-Barranco, Tara Julia Hamilton, André van Schaik, Ralph Etienne-Cummings, Tobi Delbruck, Shih-Chii Liu, Piotr Dudek, Philipp Häfliger, Sylvie Renaud,[...]. Front Neurosci 2011
247
13

Equivalent-accuracy accelerated neural-network training using analogue memory.
Stefano Ambrogio, Pritish Narayanan, Hsinyu Tsai, Robert M Shelby, Irem Boybat, Carmelo di Nolfo, Severin Sidler, Massimo Giordano, Martina Bodini, Nathan C P Farinha,[...]. Nature 2018
115
12

Short-term plasticity and long-term potentiation mimicked in single inorganic synapses.
Takeo Ohno, Tsuyoshi Hasegawa, Tohru Tsuruoka, Kazuya Terabe, James K Gimzewski, Masakazu Aono. Nat Mater 2011
416
12

The missing memristor found.
Dmitri B Strukov, Gregory S Snider, Duncan R Stewart, R Stanley Williams. Nature 2008
12


Nanoelectronic programmable synapses based on phase change materials for brain-inspired computing.
Duygu Kuzum, Rakesh G D Jeyasingh, Byoungil Lee, H-S Philip Wong. Nano Lett 2012
268
11

Stochastic phase-change neurons.
Tomas Tuma, Angeliki Pantazi, Manuel Le Gallo, Abu Sebastian, Evangelos Eleftheriou. Nat Nanotechnol 2016
182
11

A bioinspired flexible organic artificial afferent nerve.
Yeongin Kim, Alex Chortos, Wentao Xu, Yuxin Liu, Jin Young Oh, Donghee Son, Jiheong Kang, Amir M Foudeh, Chenxin Zhu, Yeongjun Lee,[...]. Science 2018
238
10

Memristive devices for computing.
J Joshua Yang, Dmitri B Strukov, Duncan R Stewart. Nat Nanotechnol 2013
649
10

All-optical spiking neurosynaptic networks with self-learning capabilities.
J Feldmann, N Youngblood, C D Wright, H Bhaskaran, W H P Pernice. Nature 2019
90
11

Towards artificial general intelligence with hybrid Tianjic chip architecture.
Jing Pei, Lei Deng, Sen Song, Mingguo Zhao, Youhui Zhang, Shuang Wu, Guanrui Wang, Zhe Zou, Zhenzhi Wu, Wei He,[...]. Nature 2019
52
19

Towards spike-based machine intelligence with neuromorphic computing.
Kaushik Roy, Akhilesh Jaiswal, Priyadarshini Panda. Nature 2019
73
13

Supervised Learning Based on Temporal Coding in Spiking Neural Networks.
Hesham Mostafa. IEEE Trans Neural Netw Learn Syst 2018
45
22

Fully hardware-implemented memristor convolutional neural network.
Peng Yao, Huaqiang Wu, Bin Gao, Jianshi Tang, Qingtian Zhang, Wenqiang Zhang, J Joshua Yang, He Qian. Nature 2020
94
10

SuperSpike: Supervised Learning in Multilayer Spiking Neural Networks.
Friedemann Zenke, Surya Ganguli. Neural Comput 2018
62
16

Parallel programming of an ionic floating-gate memory array for scalable neuromorphic computing.
Elliot J Fuller, Scott T Keene, Armantas Melianas, Zhongrui Wang, Sapan Agarwal, Yiyang Li, Yaakov Tuchman, Conrad D James, Matthew J Marinella, J Joshua Yang,[...]. Science 2019
109
9

Multi-terminal memtransistors from polycrystalline monolayer molybdenum disulfide.
Vinod K Sangwan, Hong-Sub Lee, Hadallia Bergeron, Itamar Balla, Megan E Beck, Kan-Sheng Chen, Mark C Hersam. Nature 2018
167
9

Artificial optic-neural synapse for colored and color-mixed pattern recognition.
Seunghwan Seo, Seo-Hyeon Jo, Sungho Kim, Jaewoo Shim, Seyong Oh, Jeong-Hoon Kim, Keun Heo, Jae-Woong Choi, Changhwan Choi, Saeroonter Oh,[...]. Nat Commun 2018
106
9

Optoelectronic resistive random access memory for neuromorphic vision sensors.
Feichi Zhou, Zheng Zhou, Jiewei Chen, Tsz Hin Choy, Jingli Wang, Ning Zhang, Ziyuan Lin, Shimeng Yu, Jinfeng Kang, H-S Philip Wong,[...]. Nat Nanotechnol 2019
109
9

A reconfigurable on-line learning spiking neuromorphic processor comprising 256 neurons and 128K synapses.
Ning Qiao, Hesham Mostafa, Federico Corradi, Marc Osswald, Fabio Stefanini, Dora Sumislawska, Giacomo Indiveri. Front Neurosci 2015
105
9

Stretchable organic optoelectronic sensorimotor synapse.
Yeongjun Lee, Jin Young Oh, Wentao Xu, Onnuri Kim, Taeho Roy Kim, Jiheong Kang, Yeongin Kim, Donghee Son, Jeffery B-H Tok, Moon Jeong Park,[...]. Sci Adv 2018
79
10

SiGe epitaxial memory for neuromorphic computing with reproducible high performance based on engineered dislocations.
Shinhyun Choi, Scott H Tan, Zefan Li, Yunjo Kim, Chanyeol Choi, Pai-Yu Chen, Hanwool Yeon, Shimeng Yu, Jeehwan Kim. Nat Mater 2018
118
8

Deep learning in spiking neural networks.
Amirhossein Tavanaei, Masoud Ghodrati, Saeed Reza Kheradpisheh, Timothée Masquelier, Anthony Maida. Neural Netw 2019
65
12

Going Deeper in Spiking Neural Networks: VGG and Residual Architectures.
Abhronil Sengupta, Yuting Ye, Robert Wang, Chiao Liu, Kaushik Roy. Front Neurosci 2019
50
16

A Scalable Multicore Architecture With Heterogeneous Memory Structures for Dynamic Neuromorphic Asynchronous Processors (DYNAPs).
Saber Moradi, Ning Qiao, Fabio Stefanini, Giacomo Indiveri. IEEE Trans Biomed Circuits Syst 2018
49
16

Synaptic computation.
L F Abbott, Wade G Regehr. Nature 2004
691
7

Synergistic Gating of Electro-Iono-Photoactive 2D Chalcogenide Neuristors: Coexistence of Hebbian and Homeostatic Synaptic Metaplasticity.
Rohit Abraham John, Fucai Liu, Nguyen Anh Chien, Mohit R Kulkarni, Chao Zhu, Qundong Fu, Arindam Basu, Zheng Liu, Nripan Mathews. Adv Mater 2018
65
10

Efficient and self-adaptive in-situ learning in multilayer memristor neural networks.
Can Li, Daniel Belkin, Yunning Li, Peng Yan, Miao Hu, Ning Ge, Hao Jiang, Eric Montgomery, Peng Lin, Zhongrui Wang,[...]. Nat Commun 2018
81
8

Large-scale neuromorphic computing systems.
Steve Furber. J Neural Eng 2016
73
9

Face classification using electronic synapses.
Peng Yao, Huaqiang Wu, Bin Gao, Sukru Burc Eryilmaz, Xueyao Huang, Wenqiang Zhang, Qingtian Zhang, Ning Deng, Luping Shi, H-S Philip Wong,[...]. Nat Commun 2017
112
7

Memory devices and applications for in-memory computing.
Abu Sebastian, Manuel Le Gallo, Riduan Khaddam-Aljameh, Evangelos Eleftheriou. Nat Nanotechnol 2020
73
9

Convolutional networks for fast, energy-efficient neuromorphic computing.
Steven K Esser, Paul A Merolla, John V Arthur, Andrew S Cassidy, Rathinakumar Appuswamy, Alexander Andreopoulos, David J Berg, Jeffrey L McKinstry, Timothy Melano, Davis R Barch,[...]. Proc Natl Acad Sci U S A 2016
89
7

Ultrafast machine vision with 2D material neural network image sensors.
Lukas Mennel, Joanna Symonowicz, Stefan Wachter, Dmitry K Polyushkin, Aday J Molina-Mendoza, Thomas Mueller. Nature 2020
73
9

Training Deep Spiking Neural Networks Using Backpropagation.
Jun Haeng Lee, Tobi Delbruck, Michael Pfeiffer. Front Neurosci 2016
101
7

Artificial synapse network on inorganic proton conductor for neuromorphic systems.
Li Qiang Zhu, Chang Jin Wan, Li Qiang Guo, Yi Shi, Qing Wan. Nat Commun 2014
173
6

Ferroelectric Analog Synaptic Transistors.
Min-Kyu Kim, Jang-Sik Lee. Nano Lett 2019
64
9

Synaptic electronics: materials, devices and applications.
Duygu Kuzum, Shimeng Yu, H-S Philip Wong. Nanotechnology 2013
228
6

Mastering the game of Go without human knowledge.
David Silver, Julian Schrittwieser, Karen Simonyan, Ioannis Antonoglou, Aja Huang, Arthur Guez, Thomas Hubert, Lucas Baker, Matthew Lai, Adrian Bolton,[...]. Nature 2017
493
6

Low-Power, Electrochemically Tunable Graphene Synapses for Neuromorphic Computing.
Mohammad Taghi Sharbati, Yanhao Du, Jorge Torres, Nolan D Ardolino, Minhee Yun, Feng Xiong. Adv Mater 2018
56
10

A MoS2 /PTCDA Hybrid Heterojunction Synapse with Efficient Photoelectric Dual Modulation and Versatility.
Shuiyuan Wang, Chunsheng Chen, Zhihao Yu, Yongli He, Xiaoyao Chen, Qing Wan, Yi Shi, David Wei Zhang, Hao Zhou, Xinran Wang,[...]. Adv Mater 2019
79
7

Learning through ferroelectric domain dynamics in solid-state synapses.
Sören Boyn, Julie Grollier, Gwendal Lecerf, Bin Xu, Nicolas Locatelli, Stéphane Fusil, Stéphanie Girod, Cécile Carrétéro, Karin Garcia, Stéphane Xavier,[...]. Nat Commun 2017
111
6

Photonic Synapses Based on Inorganic Perovskite Quantum Dots for Neuromorphic Computing.
Yan Wang, Ziyu Lv, Jinrui Chen, Zhanpeng Wang, Ye Zhou, Li Zhou, Xiaoli Chen, Su-Ting Han. Adv Mater 2018
91
6

Reservoir computing using dynamic memristors for temporal information processing.
Chao Du, Fuxi Cai, Mohammed A Zidan, Wen Ma, Seung Hwan Lee, Wei D Lu. Nat Commun 2017
77
7


Co-cited is the co-citation frequency, indicating how many articles cite the article together with the query article. Similarity is the co-citation as percentage of the times cited of the query article or the article in the search results, whichever is the lowest. These numbers are calculated for the last 100 citations when articles are cited more than 100 times.