A citation-based method for searching scientific literature

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
Times Cited: 179






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List of co-cited articles
943 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
661
51
51

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
631
46
46

Cortical control of arm movements: a dynamical systems perspective.
Krishna V Shenoy, Maneesh Sahani, Mark M Churchland. Annu Rev Neurosci 2013
351
30
30

Motor Cortex Embeds Muscle-like Commands in an Untangled Population Response.
Abigail A Russo, Sean R Bittner, Sean M Perkins, Jeffrey S Seely, Brian M London, Antonio H Lara, Andrew Miri, Najja J Marshall, Adam Kohn, Thomas M Jessell,[...]. Neuron 2018
92
30
32

Cortical activity in the null space: permitting preparation without movement.
Matthew T Kaufman, Mark M Churchland, Stephen I Ryu, Krishna V Shenoy. Nat Neurosci 2014
295
29
29

Flexible timing by temporal scaling of cortical responses.
Jing Wang, Devika Narain, Eghbal A Hosseini, Mehrdad Jazayeri. Nat Neurosci 2018
155
28
28

Reorganization between preparatory and movement population responses in motor cortex.
Gamaleldin F Elsayed, Antonio H Lara, Matthew T Kaufman, Mark M Churchland, John P Cunningham. Nat Commun 2016
136
26
26

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
96
26
27

Recurrent Network Models of Sequence Generation and Memory.
Kanaka Rajan, Christopher D Harvey, David W Tank. Neuron 2016
144
25
25

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
161
25
25

Optimal control of transient dynamics in balanced networks supports generation of complex movements.
Guillaume Hennequin, Tim P Vogels, Wulfram Gerstner. Neuron 2014
132
24
24

Generating coherent patterns of activity from chaotic neural networks.
David Sussillo, L F Abbott. Neuron 2009
383
24
24

Dimensionality reduction for large-scale neural recordings.
John P Cunningham, Byron M Yu. Nat Neurosci 2014
436
23
23

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
59
23
38

Neural Manifolds for the Control of Movement.
Juan A Gallego, Matthew G Perich, Lee E Miller, Sara A Solla. Neuron 2017
153
23
23

Cortical preparatory activity: representation of movement or first cog in a dynamical machine?
Mark M Churchland, John P Cunningham, Matthew T Kaufman, Stephen I Ryu, Krishna V Shenoy. Neuron 2010
236
23
23

Using goal-driven deep learning models to understand sensory cortex.
Daniel L K Yamins, James J DiCarlo. Nat Neurosci 2016
443
22
22

Flexible Sensorimotor Computations through Rapid Reconfiguration of Cortical Dynamics.
Evan D Remington, Devika Narain, Eghbal A Hosseini, Mehrdad Jazayeri. Neuron 2018
95
22
23

Neural constraints on learning.
Patrick T Sadtler, Kristin M Quick, Matthew D Golub, Steven M Chase, Stephen I Ryu, Elizabeth C Tyler-Kabara, Byron M Yu, Aaron P Batista. Nature 2014
298
22
22

Opening the black box: low-dimensional dynamics in high-dimensional recurrent neural networks.
David Sussillo, Omri Barak. Neural Comput 2013
118
21
21

Linking Connectivity, Dynamics, and Computations in Low-Rank Recurrent Neural Networks.
Francesca Mastrogiuseppe, Srdjan Ostojic. Neuron 2018
89
19
21

The Largest Response Component in the Motor Cortex Reflects Movement Timing but Not Movement Type.
Matthew T Kaufman, Jeffrey S Seely, David Sussillo, Stephen I Ryu, Krishna V Shenoy, Mark M Churchland. eNeuro 2016
91
19
20

Recurrent neural networks as versatile tools of neuroscience research.
Omri Barak. Curr Opin Neurobiol 2017
59
17
28

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
193
17
17

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
600
17
17

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
77
17
22

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
64
16
25

Cortical pattern generation during dexterous movement is input-driven.
Britton A Sauerbrei, Jian-Zhong Guo, Jeremy D Cohen, Matteo Mischiati, Wendy Guo, Mayank Kabra, Nakul Verma, Brett Mensh, Kristin Branson, Adam W Hantman. Nature 2020
87
15
17

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
200
15
15

Cortical population activity within a preserved neural manifold underlies multiple motor behaviors.
Juan A Gallego, Matthew G Perich, Stephanie N Naufel, Christian Ethier, Sara A Solla, Lee E Miller. Nat Commun 2018
82
14
17

A Neural Population Mechanism for Rapid Learning.
Matthew G Perich, Juan A Gallego, Lee E Miller. Neuron 2018
62
14
22

Different population dynamics in the supplementary motor area and motor cortex during reaching.
A H Lara, J P Cunningham, M M Churchland. Nat Commun 2018
44
14
31

Reward-based training of recurrent neural networks for cognitive and value-based tasks.
H Francis Song, Guangyu R Yang, Xiao-Jing Wang. Elife 2017
61
14
22

From fixed points to chaos: three models of delayed discrimination.
Omri Barak, David Sussillo, Ranulfo Romo, Misha Tsodyks, L F Abbott. Prog Neurobiol 2013
81
13
16

Gaussian-process factor analysis for low-dimensional single-trial analysis of neural population activity.
Byron M Yu, John P Cunningham, Gopal Santhanam, Stephen I Ryu, Krishna V Shenoy, Maneesh Sahani. J Neurophysiol 2009
255
13
13

Conservation of preparatory neural events in monkey motor cortex regardless of how movement is initiated.
Antonio H Lara, Gamaleldin F Elsayed, Andrew J Zimnik, John P Cunningham, Mark M Churchland. Elife 2018
38
13
34

Neural networks and physical systems with emergent collective computational abilities.
J J Hopfield. Proc Natl Acad Sci U S A 1982
3271
12
12

Robust timing and motor patterns by taming chaos in recurrent neural networks.
Rodrigo Laje, Dean V Buonomano. Nat Neurosci 2013
208
12
12

Computation Through Neural Population Dynamics.
Saurabh Vyas, Matthew D Golub, David Sussillo, Krishna V Shenoy. Annu Rev Neurosci 2020
73
12
16

A Dynamical Systems Perspective on Flexible Motor Timing.
Evan D Remington, Seth W Egger, Devika Narain, Jing Wang, Mehrdad Jazayeri. Trends Cogn Sci 2018
37
11
29

Cortical Areas Interact through a Communication Subspace.
João D Semedo, Amin Zandvakili, Christian K Machens, Byron M Yu, Adam Kohn. Neuron 2019
92
11
11

On simplicity and complexity in the brave new world of large-scale neuroscience.
Peiran Gao, Surya Ganguli. Curr Opin Neurobiol 2015
135
11
11

Functional, but not anatomical, separation of "what" and "when" in prefrontal cortex.
Christian K Machens, Ranulfo Romo, Carlos D Brody. J Neurosci 2010
153
11
11

Structure in neural population recordings: an expected byproduct of simpler phenomena?
Gamaleldin F Elsayed, John P Cunningham. Nat Neurosci 2017
67
11
16

Learning by neural reassociation.
Matthew D Golub, Patrick T Sadtler, Emily R Oby, Kristin M Quick, Stephen I Ryu, Elizabeth C Tyler-Kabara, Aaron P Batista, Steven M Chase, Byron M Yu. Nat Neurosci 2018
85
11
12

Neuronal circuits underlying persistent representations despite time varying activity.
Shaul Druckmann, Dmitri B Chklovskii. Curr Biol 2012
92
10
10

Long short-term memory.
S Hochreiter, J Schmidhuber. Neural Comput 1997
5245
10
10

Neural circuits as computational dynamical systems.
David Sussillo. Curr Opin Neurobiol 2014
87
10
11

Neural variability in premotor cortex provides a signature of motor preparation.
Mark M Churchland, Byron M Yu, Stephen I Ryu, Gopal Santhanam, Krishna V Shenoy. J Neurosci 2006
263
10
10

Single-trial neural correlates of arm movement preparation.
Afsheen Afshar, Gopal Santhanam, Byron M Yu, Stephen I Ryu, Maneesh Sahani, Krishna V Shenoy. Neuron 2011
121
10
10


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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