A citation-based method for searching scientific literature

Task representations in neural networks trained to perform many cognitive tasks.
Guangyu Robert Yang, Madhura R Joglekar, H Francis Song, William T Newsome, Xiao-Jing Wang. Nat Neurosci 2019
Times Cited: 54






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



Times Cited
  Times     Co-cited
Similarity


Context-dependent computation by recurrent dynamics in prefrontal cortex.
Valerio Mante, David Sussillo, Krishna V Shenoy, William T Newsome. Nature 2013
522
24
44

A neural network that finds a naturalistic solution for the production of muscle activity.
David Sussillo, Mark M Churchland, Matthew T Kaufman, Krishna V Shenoy. Nat Neurosci 2015
141
16
29

Training Excitatory-Inhibitory Recurrent Neural Networks for Cognitive Tasks: A Simple and Flexible Framework.
H Francis Song, Guangyu R Yang, Xiao-Jing Wang. PLoS Comput Biol 2016
51
15
29

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
14
25

Flexible timing by temporal scaling of cortical responses.
Jing Wang, Devika Narain, Eghbal A Hosseini, Mehrdad Jazayeri. Nat Neurosci 2018
107
13
24

Recurrent Network Models of Sequence Generation and Memory.
Kanaka Rajan, Christopher D Harvey, David W Tank. Neuron 2016
113
13
24

Flexible Sensorimotor Computations through Rapid Reconfiguration of Cortical Dynamics.
Evan D Remington, Devika Narain, Eghbal A Hosseini, Mehrdad Jazayeri. Neuron 2018
60
13
24

Using goal-driven deep learning models to understand sensory cortex.
Daniel L K Yamins, James J DiCarlo. Nat Neurosci 2016
314
12
22

A diverse range of factors affect the nature of neural representations underlying short-term memory.
A Emin Orhan, Wei Ji Ma. Nat Neurosci 2019
27
11
40

Prefrontal cortex as a meta-reinforcement learning system.
Jane X Wang, Zeb Kurth-Nelson, Dharshan Kumaran, Dhruva Tirumala, Hubert Soyer, Joel Z Leibo, Demis Hassabis, Matthew Botvinick. Nat Neurosci 2018
82
11
20

Reward-based training of recurrent neural networks for cognitive and value-based tasks.
H Francis Song, Guangyu R Yang, Xiao-Jing Wang. Elife 2017
41
11
26

Performance-optimized hierarchical models predict neural responses in higher visual cortex.
Daniel L K Yamins, Ha Hong, Charles F Cadieu, Ethan A Solomon, Darren Seibert, James J DiCarlo. Proc Natl Acad Sci U S A 2014
436
11
20

Computing by Robust Transience: How the Fronto-Parietal Network Performs Sequential, Category-Based Decisions.
Warasinee Chaisangmongkon, Sruthi K Swaminathan, David J Freedman, Xiao-Jing Wang. Neuron 2017
44
10
22

A deep learning framework for neuroscience.
Blake A Richards, Timothy P Lillicrap, Philippe Beaudoin, Yoshua Bengio, Rafal Bogacz, Amelia Christensen, Claudia Clopath, Rui Ponte Costa, Archy de Berker, Surya Ganguli,[...]. Nat Neurosci 2019
90
9
16

Optimal control of transient dynamics in balanced networks supports generation of complex movements.
Guillaume Hennequin, Tim P Vogels, Wulfram Gerstner. Neuron 2014
112
8
14

Neural networks and physical systems with emergent collective computational abilities.
J J Hopfield. Proc Natl Acad Sci U S A 1982
3008
8
14

Neural population dynamics during reaching.
Mark M Churchland, John P Cunningham, Matthew T Kaufman, Justin D Foster, Paul Nuyujukian, Stephen I Ryu, Krishna V Shenoy. Nature 2012
497
8
14

Inferring single-trial neural population dynamics using sequential auto-encoders.
Chethan Pandarinath, Daniel J O'Shea, Jasmine Collins, Rafal Jozefowicz, Sergey D Stavisky, Jonathan C Kao, Eric M Trautmann, Matthew T Kaufman, Stephen I Ryu, Leigh R Hochberg,[...]. Nat Methods 2018
88
8
14

Opening the black box: low-dimensional dynamics in high-dimensional recurrent neural networks.
David Sussillo, Omri Barak. Neural Comput 2013
94
8
14

Generating coherent patterns of activity from chaotic neural networks.
David Sussillo, L F Abbott. Neuron 2009
330
8
14

From fixed points to chaos: three models of delayed discrimination.
Omri Barak, David Sussillo, Ranulfo Romo, Misha Tsodyks, L F Abbott. Prog Neurobiol 2013
70
7
12

Deep learning.
Yann LeCun, Yoshua Bengio, Geoffrey Hinton. Nature 2015
6549
7
12

Robust timing and motor patterns by taming chaos in recurrent neural networks.
Rodrigo Laje, Dean V Buonomano. Nat Neurosci 2013
179
7
12

Recurrent neural networks as versatile tools of neuroscience research.
Omri Barak. Curr Opin Neurobiol 2017
33
7
21

Stable population coding for working memory coexists with heterogeneous neural dynamics in prefrontal cortex.
John D Murray, Alberto Bernacchia, Nicholas A Roy, Christos Constantinidis, Ranulfo Romo, Xiao-Jing Wang. Proc Natl Acad Sci U S A 2017
109
7
12

Dynamic coding for cognitive control in prefrontal cortex.
Mark G Stokes, Makoto Kusunoki, Natasha Sigala, Hamed Nili, David Gaffan, John Duncan. Neuron 2013
326
7
12

Demixed principal component analysis of neural population data.
Dmitry Kobak, Wieland Brendel, Christos Constantinidis, Claudia E Feierstein, Adam Kepecs, Zachary F Mainen, Xue-Lian Qi, Ranulfo Romo, Naoshige Uchida, Christian K Machens. Elife 2016
134
7
12

Long short-term memory.
S Hochreiter, J Schmidhuber. Neural Comput 1997
2678
6
11

Synaptic reverberation underlying mnemonic persistent activity.
X J Wang. Trends Neurosci 2001
589
6
11

Neuronal correlates of parametric working memory in the prefrontal cortex.
R Romo, C D Brody, A Hernández, L Lemus. Nature 1999
504
6
11

Biologically plausible learning in recurrent neural networks reproduces neural dynamics observed during cognitive tasks.
Thomas Miconi. Elife 2017
29
6
20

The neural basis of decision making.
Joshua I Gold, Michael N Shadlen. Annu Rev Neurosci 2007
1683
6
11

State-dependent computations: spatiotemporal processing in cortical networks.
Dean V Buonomano, Wolfgang Maass. Nat Rev Neurosci 2009
404
6
11

Neural population control via deep image synthesis.
Pouya Bashivan, Kohitij Kar, James J DiCarlo. Science 2019
57
6
11

Overcoming catastrophic forgetting in neural networks.
James Kirkpatrick, Razvan Pascanu, Neil Rabinowitz, Joel Veness, Guillaume Desjardins, Andrei A Rusu, Kieran Milan, John Quan, Tiago Ramalho, Agnieszka Grabska-Barwinska,[...]. Proc Natl Acad Sci U S A 2017
110
6
11

Probabilistic decision making by slow reverberation in cortical circuits.
Xiao-Jing Wang. Neuron 2002
617
6
11

Towards the neural population doctrine.
Shreya Saxena, John P Cunningham. Curr Opin Neurobiol 2019
33
6
18

A hierarchy of intrinsic timescales across primate cortex.
John D Murray, Alberto Bernacchia, David J Freedman, Ranulfo Romo, Jonathan D Wallis, Xinying Cai, Camillo Padoa-Schioppa, Tatiana Pasternak, Hyojung Seo, Daeyeol Lee,[...]. Nat Neurosci 2014
305
6
11

Representational similarity analysis - connecting the branches of systems neuroscience.
Nikolaus Kriegeskorte, Marieke Mur, Peter Bandettini. Front Syst Neurosci 2008
1042
6
11

An integrative theory of prefrontal cortex function.
E K Miller, J D Cohen. Annu Rev Neurosci 2001
6383
6
11

Encoding sensory and motor patterns as time-invariant trajectories in recurrent neural networks.
Vishwa Goudar, Dean V Buonomano. Elife 2018
20
5
25

Synaptic theory of working memory.
Gianluigi Mongillo, Omri Barak, Misha Tsodyks. Science 2008
528
5
9

'Activity-silent' working memory in prefrontal cortex: a dynamic coding framework.
Mark G Stokes. Trends Cogn Sci 2015
253
5
9

Dynamic Control of Response Criterion in Premotor Cortex during Perceptual Detection under Temporal Uncertainty.
Federico Carnevale, Victor de Lafuente, Ranulfo Romo, Omri Barak, Néstor Parga. Neuron 2015
49
5
10

Cortical control of arm movements: a dynamical systems perspective.
Krishna V Shenoy, Maneesh Sahani, Mark M Churchland. Annu Rev Neurosci 2013
283
5
9

Neural circuits as computational dynamical systems.
David Sussillo. Curr Opin Neurobiol 2014
70
5
9

Neural Population Dynamics during Reaching Are Better Explained by a Dynamical System than Representational Tuning.
Jonathan A Michaels, Benjamin Dann, Hansjörg Scherberger. PLoS Comput Biol 2016
41
5
12

Internal representation of task rules by recurrent dynamics: the importance of the diversity of neural responses.
Mattia Rigotti, Daniel Ben Dayan Rubin, Xiao-Jing Wang, Stefano Fusi. Front Comput Neurosci 2010
94
5
9

Neural Manifolds for the Control of Movement.
Juan A Gallego, Matthew G Perich, Lee E Miller, Sara A Solla. Neuron 2017
81
5
9

Linking Connectivity, Dynamics, and Computations in Low-Rank Recurrent Neural Networks.
Francesca Mastrogiuseppe, Srdjan Ostojic. Neuron 2018
42
5
11


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.

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