A citation-based method for searching scientific literature

Samanwoy Ghosh-Dastidar, Hojjat Adeli. Int J Neural Syst 2009
Times Cited: 193







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



Times Cited
  Times     Co-cited
Similarity



An optimization spiking neural p system for approximately solving combinatorial optimization problems.
Gexiang Zhang, Haina Rong, Ferrante Neri, Mario J Pérez-Jiménez. Int J Neural Syst 2014
58
43

Simple model of spiking neurons.
E M Izhikevich. IEEE Trans Neural Netw 2003
906
20


A Multiple-Plasticity Spiking Neural Network Embedded in a Closed-Loop Control System to Model Cerebellar Pathologies.
Alice Geminiani, Claudia Casellato, Alberto Antonietti, Egidio D'Angelo, Alessandra Pedrocchi. Int J Neural Syst 2018
24
70

A Scalable Weight-Free Learning Algorithm for Regulatory Control of Cell Activity in Spiking Neuronal Networks.
Xu Zhang, Greg Foderaro, Craig Henriquez, Silvia Ferrari. Int J Neural Syst 2018
19
89

Studying the role of synchronized and chaotic spiking neural ensembles in neural information processing.
Josep L Rosselló, Vicens Canals, Antoni Oliver, Antoni Morro. Int J Neural Syst 2014
29
55

Spiking Neural P Systems with Communication on Request.
Linqiang Pan, Gheorghe Păun, Gexiang Zhang, Ferrante Neri. Int J Neural Syst 2017
35
45

Simplified and Yet Turing Universal Spiking Neural P Systems with Communication on Request.
Tingfang Wu, Florin-Daniel Bîlbîe, Andrei Păun, Linqiang Pan, Ferrante Neri. Int J Neural Syst 2018
24
66

Which model to use for cortical spiking neurons?
Eugene M Izhikevich. IEEE Trans Neural Netw 2004
488
14

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
447
14

A generalized Leaky Integrate-and-Fire neuron model with fast implementation method.
Zhenzhong Wang, Lilin Guo, Malek Adjouadi. Int J Neural Syst 2014
17
76

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


Dynamic Redistribution of Plasticity in a Cerebellar Spiking Neural Network Reproducing an Associative Learning Task Perturbed by TMS.
Alberto Antonietti, Jessica Monaco, Egidio D'Angelo, Alessandra Pedrocchi, Claudia Casellato. Int J Neural Syst 2018
17
76

Optimal sparse approximation with integrate and fire neurons.
Samuel Shapero, Mengchen Zhu, Jennifer Hasler, Christopher Rozell. Int J Neural Syst 2014
20
60


Code-specific learning rules improve action selection by populations of spiking neurons.
Johannes Friedrich, Robert Urbanczik, Walter Senn. Int J Neural Syst 2014
25
44

The tempotron: a neuron that learns spike timing-based decisions.
Robert Gütig, Haim Sompolinsky. Nat Neurosci 2006
219
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
16



Deep learning in neural networks: an overview.
Jürgen Schmidhuber. Neural Netw 2015
10

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
226
10

Compact Hardware Synthesis of Stochastic Spiking Neural Networks.
Fabio Galán-Prado, Alejandro Morán, Joan Font, Miquel Roca, Josep L Rosselló. Int J Neural Syst 2019
10
100

Introduction to spiking neural networks: Information processing, learning and applications.
Filip Ponulak, Andrzej Kasinski. Acta Neurobiol Exp (Wars) 2011
43
20


An Attention-Based Spiking Neural Network for Unsupervised Spike-Sorting.
Marie Bernert, Blaise Yvert. Int J Neural Syst 2019
10
90

Small universal spiking neural P systems.
Andrei Păun, Gheorghe Păun. Biosystems 2007
32
25

Simulation of networks of spiking neurons: a review of tools and strategies.
Romain Brette, Michelle Rudolph, Ted Carnevale, Michael Hines, David Beeman, James M Bower, Markus Diesmann, Abigail Morrison, Philip H Goodman, Frederick C Harris,[...]. J Comput Neurosci 2007
257
8

Training Deep Spiking Neural Networks Using Backpropagation.
Jun Haeng Lee, Tobi Delbruck, Michael Pfeiffer. Front Neurosci 2016
87
9

Monitor-Based Spiking Recurrent Network for the Representation of Complex Dynamic Patterns.
Ruihan Hu, Qijun Huang, Hao Wang, Jin He, Sheng Chang. Int J Neural Syst 2019
13
61

Neurons with Multiplicative Interactions of Nonlinear Synapses.
Yuki Todo, Zheng Tang, Hiroyoshi Todo, Junkai Ji, Kazuya Yamashita. Int J Neural Syst 2019
8
100


Spiking neural P systems with astrocytes.
Linqiang Pan, Jun Wang, Hendrik Jan Hoogeboom. Neural Comput 2012
21
33

A real-time spiking cerebellum model for learning robot control.
Richard R Carrillo, Eduardo Ros, Christian Boucheny, Olivier J-M D Coenen. Biosystems 2008
39
17

Spiking Neural Network With Distributed Plasticity Reproduces Cerebellar Learning in Eye Blink Conditioning Paradigms.
Alberto Antonietti, Claudia Casellato, Jesús A Garrido, Niceto R Luque, Francisco Naveros, Eduardo Ros, Egidio D' Angelo, Alessandra Pedrocchi. IEEE Trans Biomed Eng 2016
16
43

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
228
7

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

Hardware implementation of stochastic spiking neural networks.
Josep L Rosselló, Vincent Canals, Antoni Morro, Antoni Oliver. Int J Neural Syst 2012
20
30


Competitive STDP-based spike pattern learning.
Timothée Masquelier, Rudy Guyonneau, Simon J Thorpe. Neural Comput 2009
93
6

Spike timing-dependent plasticity: a Hebbian learning rule.
Natalia Caporale, Yang Dan. Annu Rev Neurosci 2008
607
6

Spiking neural P systems with weights.
Jun Wang, Hendrik Jan Hoogeboom, Linqiang Pan, Gheorghe Păun, Mario J Pérez-Jiménez. Neural Comput 2010
22
27

Event-driven simulation scheme for spiking neural networks using lookup tables to characterize neuronal dynamics.
Eduardo Ros, Richard Carrillo, Eva M Ortigosa, Boris Barbour, Rodrigo Agís. Neural Comput 2006
38
15

Adaptive robotic control driven by a versatile spiking cerebellar network.
Claudia Casellato, Alberto Antonietti, Jesus A Garrido, Richard R Carrillo, Niceto R Luque, Eduardo Ros, Alessandra Pedrocchi, Egidio D'Angelo. PLoS One 2014
29
20




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.