A citation-based method for searching scientific literature

Wolfgang Maass, Thomas Natschläger, Henry Markram. Neural Comput 2002
Times Cited: 708







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



Times Cited
  Times     Co-cited
Similarity



Recent advances in physical reservoir computing: A review.
Gouhei Tanaka, Toshiyuki Yamane, Jean Benoit Héroux, Ryosho Nakane, Naoki Kanazawa, Seiji Takeda, Hidetoshi Numata, Daiju Nakano, Akira Hirose. Neural Netw 2019
81
34

Model-Free Prediction of Large Spatiotemporally Chaotic Systems from Data: A Reservoir Computing Approach.
Jaideep Pathak, Brian Hunt, Michelle Girvan, Zhixin Lu, Edward Ott. Phys Rev Lett 2018
121
20

Information processing using a single dynamical node as complex system.
L Appeltant, M C Soriano, G Van der Sande, J Danckaert, S Massar, J Dambre, B Schrauwen, C R Mirasso, I Fischer. Nat Commun 2011
173
17

An experimental unification of reservoir computing methods.
D Verstraeten, B Schrauwen, M D'Haene, D Stroobandt. Neural Netw 2007
151
16


Long short-term memory.
S Hochreiter, J Schmidhuber. Neural Comput 1997
14

Photonic information processing beyond Turing: an optoelectronic implementation of reservoir computing.
L Larger, M C Soriano, D Brunner, L Appeltant, J M Gutierrez, L Pesquera, C R Mirasso, I Fischer. Opt Express 2012
126
14

Attractor reconstruction by machine learning.
Zhixin Lu, Brian R Hunt, Edward Ott. Chaos 2018
55
23

Parallel photonic information processing at gigabyte per second data rates using transient states.
Daniel Brunner, Miguel C Soriano, Claudio R Mirasso, Ingo Fischer. Nat Commun 2013
126
12

Reservoir observers: Model-free inference of unmeasured variables in chaotic systems.
Zhixin Lu, Jaideep Pathak, Brian Hunt, Michelle Girvan, Roger Brockett, Edward Ott. Chaos 2017
58
20

Experimental demonstration of reservoir computing on a silicon photonics chip.
Kristof Vandoorne, Pauline Mechet, Thomas Van Vaerenbergh, Martin Fiers, Geert Morthier, David Verstraeten, Benjamin Schrauwen, Joni Dambre, Peter Bienstman. Nat Commun 2014
91
12

Using machine learning to replicate chaotic attractors and calculate Lyapunov exponents from data.
Jaideep Pathak, Zhixin Lu, Brian R Hunt, Michelle Girvan, Edward Ott. Chaos 2017
71
15


Neuromorphic computing with nanoscale spintronic oscillators.
Jacob Torrejon, Mathieu Riou, Flavio Abreu Araujo, Sumito Tsunegi, Guru Khalsa, Damien Querlioz, Paolo Bortolotti, Vincent Cros, Kay Yakushiji, Akio Fukushima,[...]. Nature 2017
116
10

Real-time computation at the edge of chaos in recurrent neural networks.
Nils Bertschinger, Thomas Natschläger. Neural Comput 2004
224
10

Deep learning.
Yann LeCun, Yoshua Bengio, Geoffrey Hinton. Nature 2015
9

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
55
16


Forecasting chaotic systems with very low connectivity reservoir computers.
Aaron Griffith, Andrew Pomerance, Daniel J Gauthier. Chaos 2019
14
64

Optoelectronic reservoir computing.
Y Paquot, F Duport, A Smerieri, J Dambre, B Schrauwen, M Haelterman, S Massar. Sci Rep 2012
106
8

Hybrid forecasting of chaotic processes: Using machine learning in conjunction with a knowledge-based model.
Jaideep Pathak, Alexander Wikner, Rebeckah Fussell, Sarthak Chandra, Brian R Hunt, Michelle Girvan, Edward Ott. Chaos 2018
30
26

Echo state networks are universal.
Lyudmila Grigoryeva, Juan-Pablo Ortega. Neural Netw 2018
16
50

State-dependent computations: spatiotemporal processing in cortical networks.
Dean V Buonomano, Wolfgang Maass. Nat Rev Neurosci 2009
404
8

Recurrent Network Models of Sequence Generation and Memory.
Kanaka Rajan, Christopher D Harvey, David W Tank. Neuron 2016
113
7

Information processing in echo state networks at the edge of chaos.
Joschka Boedecker, Oliver Obst, Joseph T Lizier, N Michael Mayer, Minoru Asada. Theory Biosci 2012
48
14


Re-visiting the echo state property.
Izzet B Yildiz, Herbert Jaeger, Stefan J Kiebel. Neural Netw 2012
48
14

Information processing capacity of dynamical systems.
Joni Dambre, David Verstraeten, Benjamin Schrauwen, Serge Massar. Sci Rep 2012
49
12

The importance of mixed selectivity in complex cognitive tasks.
Mattia Rigotti, Omri Barak, Melissa R Warden, Xiao-Jing Wang, Nathaniel D Daw, Earl K Miller, Stefano Fusi. Nature 2013
516
6

Learning long-term dependencies with gradient descent is difficult.
Y Bengio, P Simard, P Frasconi. IEEE Trans Neural Netw 1994
422
6

Reservoir Computing Properties of Neural Dynamics in Prefrontal Cortex.
Pierre Enel, Emmanuel Procyk, René Quilodran, Peter Ford Dominey. PLoS Comput Biol 2016
42
14

Context-dependent computation by recurrent dynamics in prefrontal cortex.
Valerio Mante, David Sussillo, Krishna V Shenoy, William T Newsome. Nature 2013
522
6

Chaos in random neural networks.
Sompolinsky, Crisanti, Sommers. Phys Rev Lett 1988
240
6

Choice-specific sequences in parietal cortex during a virtual-navigation decision task.
Christopher D Harvey, Philip Coen, David W Tank. Nature 2012
457
6


Reconstruction and Simulation of Neocortical Microcircuitry.
Henry Markram, Eilif Muller, Srikanth Ramaswamy, Michael W Reimann, Marwan Abdellah, Carlos Aguado Sanchez, Anastasia Ailamaki, Lidia Alonso-Nanclares, Nicolas Antille, Selim Arsever,[...]. Cell 2015
463
5


Photonic machine learning implementation for signal recovery in optical communications.
Apostolos Argyris, Julián Bueno, Ingo Fischer. Sci Rep 2018
11
45

Consistency in echo-state networks.
Thomas Lymburn, Alexander Khor, Thomas Stemler, Débora C Corrêa, Michael Small, Thomas Jüngling. Chaos 2019
9
55

Reservoir computing system with double optoelectronic feedback loops.
Yaping Chen, Lilin Yi, Junxiang Ke, Zhao Yang, Yunpeng Yang, Luyao Huang, Qunbi Zhuge, Weisheng Hu. Opt Express 2019
5
100

Network structure effects in reservoir computers.
T L Carroll, L M Pecora. Chaos 2019
12
41

Fully analogue photonic reservoir computer.
François Duport, Anteo Smerieri, Akram Akrout, Marc Haelterman, Serge Massar. Sci Rep 2016
29
17

A Unified Framework for Reservoir Computing and Extreme Learning Machines based on a Single Time-delayed Neuron.
S Ortín, M C Soriano, L Pesquera, D Brunner, D San-Martín, I Fischer, C R Mirasso, J M Gutiérrez. Sci Rep 2015
27
18

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
5



Highly nonrandom features of synaptic connectivity in local cortical circuits.
Sen Song, Per Jesper Sjöström, Markus Reigl, Sacha Nelson, Dmitri B Chklovskii. PLoS Biol 2005
781
5


Collective dynamics of 'small-world' networks.
D J Watts, S H Strogatz. Nature 1998
5


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.