A citation-based method for searching scientific literature

Peter U Diehl, Matthew Cook. Front Comput Neurosci 2015
Times Cited: 146







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



Times Cited
  Times     Co-cited
Similarity


Artificial brains. A million spiking-neuron integrated circuit with a scalable communication network and interface.
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,[...]. Science 2014
514
35

Training Deep Spiking Neural Networks Using Backpropagation.
Jun Haeng Lee, Tobi Delbruck, Michael Pfeiffer. Front Neurosci 2016
103
33

STDP-based spiking deep convolutional neural networks for object recognition.
Saeed Reza Kheradpisheh, Mohammad Ganjtabesh, Simon J Thorpe, Timothée Masquelier. Neural Netw 2018
76
39

Going Deeper in Spiking Neural Networks: VGG and Residual Architectures.
Abhronil Sengupta, Yuting Ye, Robert Wang, Chiao Liu, Kaushik Roy. Front Neurosci 2019
56
44

Spatio-Temporal Backpropagation for Training High-Performance Spiking Neural Networks.
Yujie Wu, Lei Deng, Guoqi Li, Jun Zhu, Luping Shi. Front Neurosci 2018
54
44

Conversion of Continuous-Valued Deep Networks to Efficient Event-Driven Networks for Image Classification.
Bodo Rueckauer, Iulia-Alexandra Lungu, Yuhuang Hu, Michael Pfeiffer, Shih-Chii Liu. Front Neurosci 2017
68
32

Deep learning.
Yann LeCun, Yoshua Bengio, Geoffrey Hinton. Nature 2015
22


Unsupervised learning of visual features through spike timing dependent plasticity.
Timothée Masquelier, Simon J Thorpe. PLoS Comput Biol 2007
145
17

Simple model of spiking neurons.
E M Izhikevich. IEEE Trans Neural Netw 2003
975
16

Towards spike-based machine intelligence with neuromorphic computing.
Kaushik Roy, Akhilesh Jaiswal, Priyadarshini Panda. Nature 2019
80
20

Supervised Learning Based on Temporal Coding in Spiking Neural Networks.
Hesham Mostafa. IEEE Trans Neural Netw Learn Syst 2018
46
32

SuperSpike: Supervised Learning in Multilayer Spiking Neural Networks.
Friedemann Zenke, Surya Ganguli. Neural Comput 2018
63
23

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
683
13


Converting Static Image Datasets to Spiking Neuromorphic Datasets Using Saccades.
Garrick Orchard, Ajinkya Jayawant, Gregory K Cohen, Nitish Thakor. Front Neurosci 2015
52
25

Deep Learning With Spiking Neurons: Opportunities and Challenges.
Michael Pfeiffer, Thomas Pfeil. Front Neurosci 2018
55
23

Training Deep Spiking Convolutional Neural Networks With STDP-Based Unsupervised Pre-training Followed by Supervised Fine-Tuning.
Chankyu Lee, Priyadarshini Panda, Gopalakrishnan Srinivasan, Kaushik Roy. Front Neurosci 2018
24
50

Real-time classification and sensor fusion with a spiking deep belief network.
Peter O'Connor, Daniel Neil, Shih-Chii Liu, Tobi Delbruck, Michael Pfeiffer. Front Neurosci 2013
80
13

Random synaptic feedback weights support error backpropagation for deep learning.
Timothy P Lillicrap, Daniel Cownden, Douglas B Tweed, Colin J Akerman. Nat Commun 2016
132
11


Learning real-world stimuli in a neural network with spike-driven synaptic dynamics.
Joseph M Brader, Walter Senn, Stefano Fusi. Neural Comput 2007
108
11

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
273
11

Spiking neural networks.
Samanwoy Ghosh-Dastidar, Hojjat Adeli. Int J Neural Syst 2009
200
10

Regulation of synaptic efficacy by coincidence of postsynaptic APs and EPSPs.
H Markram, J Lübke, M Frotscher, B Sakmann. Science 1997
10

Deep learning in spiking neural networks.
Amirhossein Tavanaei, Masoud Ghodrati, Saeed Reza Kheradpisheh, Timothée Masquelier, Anthony Maida. Neural Netw 2019
65
15

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
57
17

Enabling Spike-Based Backpropagation for Training Deep Neural Network Architectures.
Chankyu Lee, Syed Shakib Sarwar, Priyadarshini Panda, Gopalakrishnan Srinivasan, Kaushik Roy. Front Neurosci 2020
19
52

Event-Driven Random Back-Propagation: Enabling Neuromorphic Deep Learning Machines.
Emre O Neftci, Charles Augustine, Somnath Paul, Georgios Detorakis. Front Neurosci 2017
43
20

Spike timing-dependent plasticity: a Hebbian learning rule.
Natalia Caporale, Yang Dan. Annu Rev Neurosci 2008
645
9

The tempotron: a neuron that learns spike timing-based decisions.
Robert Gütig, Haim Sompolinsky. Nat Neurosci 2006
230
8

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
93
8


Feedforward Categorization on AER Motion Events Using Cortex-Like Features in a Spiking Neural Network.
Bo Zhao, Ruoxi Ding, Shoushun Chen, Bernabe Linares-Barranco, Huajin Tang. IEEE Trans Neural Netw Learn Syst 2015
34
23


Stochastic phase-change neurons.
Tomas Tuma, Angeliki Pantazi, Manuel Le Gallo, Abu Sebastian, Evangelos Eleftheriou. Nat Nanotechnol 2016
189
8

Introduction to spiking neural networks: Information processing, learning and applications.
Filip Ponulak, Andrzej Kasinski. Acta Neurobiol Exp (Wars) 2011
47
17

HFirst: A Temporal Approach to Object Recognition.
Garrick Orchard, Cedric Meyer, Ralph Etienne-Cummings, Christoph Posch, Nitish Thakor, Ryad Benosman. IEEE Trans Pattern Anal Mach Intell 2015
42
19

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
386
7


Equilibrium Propagation: Bridging the Gap between Energy-Based Models and Backpropagation.
Benjamin Scellier, Yoshua Bengio. Front Comput Neurosci 2017
52
13

Long short-term memory.
S Hochreiter, J Schmidhuber. Neural Comput 1997
7

Bayesian computation emerges in generic cortical microcircuits through spike-timing-dependent plasticity.
Bernhard Nessler, Michael Pfeiffer, Lars Buesing, Wolfgang Maass. PLoS Comput Biol 2013
96
7

Spike timing dependent plasticity finds the start of repeating patterns in continuous spike trains.
Timothée Masquelier, Rudy Guyonneau, Simon J Thorpe. PLoS One 2008
96
7

Event-Based, Timescale Invariant Unsupervised Online Deep Learning With STDP.
Johannes C Thiele, Olivier Bichler, Antoine Dupret. Front Comput Neurosci 2018
11
63


Mapping from frame-driven to frame-free event-driven vision systems by low-rate rate coding and coincidence processing--application to feedforward ConvNets.
José Antonio Pérez-Carrasco, Bo Zhao, Carmen Serrano, Begoña Acha, Teresa Serrano-Gotarredona, Shouchun Chen, Bernabé Linares-Barranco. IEEE Trans Pattern Anal Mach Intell 2013
47
14

Unsupervised Feature Learning With Winner-Takes-All Based STDP.
Paul Ferré, Franck Mamalet, Simon J Thorpe. Front Comput Neurosci 2018
17
41

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
252
7

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
108
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.