A citation-based method for searching scientific literature

Saeed Reza Kheradpisheh, Mohammad Ganjtabesh, Simon J Thorpe, Timothée Masquelier. Neural Netw 2018
Times Cited: 63







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



Times Cited
  Times     Co-cited
Similarity



Training Deep Spiking Neural Networks Using Backpropagation.
Jun Haeng Lee, Tobi Delbruck, Michael Pfeiffer. Front Neurosci 2016
85
50

Unsupervised learning of visual features through spike timing dependent plasticity.
Timothée Masquelier, Simon J Thorpe. PLoS Comput Biol 2007
137
36

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
445
34

Deep learning.
Yann LeCun, Yoshua Bengio, Geoffrey Hinton. Nature 2015
33

Supervised Learning Based on Temporal Coding in Spiking Neural Networks.
Hesham Mostafa. IEEE Trans Neural Netw Learn Syst 2018
37
51

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
77
22


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
46
30

Going Deeper in Spiking Neural Networks: VGG and Residual Architectures.
Abhronil Sengupta, Yuting Ye, Robert Wang, Chiao Liu, Kaushik Roy. Front Neurosci 2019
32
40

The tempotron: a neuron that learns spike timing-based decisions.
Robert Gütig, Haim Sompolinsky. Nat Neurosci 2006
217
20

Simple model of spiking neurons.
E M Izhikevich. IEEE Trans Neural Netw 2003
903
20

Deep Learning With Spiking Neurons: Opportunities and Challenges.
Michael Pfeiffer, Thomas Pfeil. Front Neurosci 2018
37
35

Event-Driven Random Back-Propagation: Enabling Neuromorphic Deep Learning Machines.
Emre O Neftci, Charles Augustine, Somnath Paul, Georgios Detorakis. Front Neurosci 2017
40
30

Deep learning in spiking neural networks.
Amirhossein Tavanaei, Masoud Ghodrati, Saeed Reza Kheradpisheh, Timothée Masquelier, Anthony Maida. Neural Netw 2019
47
25

SuperSpike: Supervised Learning in Multilayer Spiking Neural Networks.
Friedemann Zenke, Surya Ganguli. Neural Comput 2018
47
25

Spatio-Temporal Backpropagation for Training High-Performance Spiking Neural Networks.
Yujie Wu, Lei Deng, Guoqi Li, Jun Zhu, Luping Shi. Front Neurosci 2018
35
31

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
14
78

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
81
15

An Event-Driven Classifier for Spiking Neural Networks Fed with Synthetic or Dynamic Vision Sensor Data.
Evangelos Stromatias, Miguel Soto, Teresa Serrano-Gotarredona, Bernabé Linares-Barranco. Front Neurosci 2017
15
66


First-Spike-Based Visual Categorization Using Reward-Modulated STDP.
Milad Mozafari, Saeed Reza Kheradpisheh, Timothee Masquelier, Abbas Nowzari-Dalini, Mohammad Ganjtabesh. IEEE Trans Neural Netw Learn Syst 2018
13
76

Competitive STDP-based spike pattern learning.
Timothée Masquelier, Rudy Guyonneau, Simon J Thorpe. Neural Comput 2009
93
14

Regulation of synaptic efficacy by coincidence of postsynaptic APs and EPSPs.
H Markram, J Lübke, M Frotscher, B Sakmann. Science 1997
14

Bayesian computation emerges in generic cortical microcircuits through spike-timing-dependent plasticity.
Bernhard Nessler, Michael Pfeiffer, Lars Buesing, Wolfgang Maass. PLoS Comput Biol 2013
88
14

Event-Based, Timescale Invariant Unsupervised Online Deep Learning With STDP.
Johannes C Thiele, Olivier Bichler, Antoine Dupret. Front Comput Neurosci 2018
9
100


Deep learning in neural networks: an overview.
Jürgen Schmidhuber. Neural Netw 2015
12

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
36
22

Converting Static Image Datasets to Spiking Neuromorphic Datasets Using Saccades.
Garrick Orchard, Ajinkya Jayawant, Gregory K Cohen, Nitish Thakor. Front Neurosci 2015
40
20

Spike timing-dependent plasticity: a Hebbian learning rule.
Natalia Caporale, Yang Dan. Annu Rev Neurosci 2008
604
12

Learning real-world stimuli in a neural network with spike-driven synaptic dynamics.
Joseph M Brader, Walter Senn, Stefano Fusi. Neural Comput 2007
106
12

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
624
12

Unsupervised Feature Learning With Winner-Takes-All Based STDP.
Paul Ferré, Franck Mamalet, Simon J Thorpe. Front Comput Neurosci 2018
13
61


A fast learning algorithm for deep belief nets.
Geoffrey E Hinton, Simon Osindero, Yee-Whye Teh. Neural Comput 2006
11

Extraction of temporally correlated features from dynamic vision sensors with spike-timing-dependent plasticity.
Olivier Bichler, Damien Querlioz, Simon J Thorpe, Jean-Philippe Bourgoin, Christian Gamrat. Neural Netw 2012
28
25

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
43
16

Event-driven contrastive divergence for spiking neuromorphic systems.
Emre Neftci, Srinjoy Das, Bruno Pedroni, Kenneth Kreutz-Delgado, Gert Cauwenberghs. Front Neurosci 2014
49
14

Hierarchical models of object recognition in cortex.
M Riesenhuber, T Poggio. Nat Neurosci 1999
11

Dynamic evolving spiking neural networks for on-line spatio- and spectro-temporal pattern recognition.
Nikola Kasabov, Kshitij Dhoble, Nuttapod Nuntalid, Giacomo Indiveri. Neural Netw 2013
58
12


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
31
22



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
364
11



Span: spike pattern association neuron for learning spatio-temporal spike patterns.
Ammar Mohemmed, Stefan Schliebs, Satoshi Matsuda, Nikola Kasabov. Int J Neural Syst 2012
61
11

A large-scale model of the functioning brain.
Chris Eliasmith, Terrence C Stewart, Xuan Choo, Trevor Bekolay, Travis DeWolf, Yichuan Tang, Daniel Rasmussen. Science 2012
226
9


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.