A citation-based method for searching scientific literature

Juan A Gallego, Matthew G Perich, Stephanie N Naufel, Christian Ethier, Sara A Solla, Lee E Miller. Nat Commun 2018
Times Cited: 44







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



Times Cited
  Times     Co-cited
Similarity


Neural Manifolds for the Control of Movement.
Juan A Gallego, Matthew G Perich, Lee E Miller, Sara A Solla. Neuron 2017
91
50

Dimensionality reduction for large-scale neural recordings.
John P Cunningham, Byron M Yu. Nat Neurosci 2014
332
47

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
518
45

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
236
36

Context-dependent computation by recurrent dynamics in prefrontal cortex.
Valerio Mante, David Sussillo, Krishna V Shenoy, William T Newsome. Nature 2013
547
34

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
141
31

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
238
29

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
101
29

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
103
29

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
214
29


Cortical Areas Interact through a Communication Subspace.
João D Semedo, Amin Zandvakili, Christian K Machens, Byron M Yu, Adam Kohn. Neuron 2019
50
25

Cortical control of arm movements: a dynamical systems perspective.
Krishna V Shenoy, Maneesh Sahani, Mark M Churchland. Annu Rev Neurosci 2013
295
22

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
43
23

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
148
20

A Neural Population Mechanism for Rapid Learning.
Matthew G Perich, Juan A Gallego, Lee E Miller. Neuron 2018
40
22

Unsupervised Discovery of Demixed, Low-Dimensional Neural Dynamics across Multiple Timescales through Tensor Component Analysis.
Alex H Williams, Tony Hyun Kim, Forea Wang, Saurabh Vyas, Stephen I Ryu, Krishna V Shenoy, Mark Schnitzer, Tamara G Kolda, Surya Ganguli. Neuron 2018
44
20

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
65
20

Flexible Sensorimotor Computations through Rapid Reconfiguration of Cortical Dynamics.
Evan D Remington, Devika Narain, Eghbal A Hosseini, Mehrdad Jazayeri. Neuron 2018
66
18

Spontaneous behaviors drive multidimensional, brainwide activity.
Carsen Stringer, Marius Pachitariu, Nicholas Steinmetz, Charu Bai Reddy, Matteo Carandini, Kenneth D Harris. Science 2019
228
18

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
57
18

Long-term stability of cortical population dynamics underlying consistent behavior.
Juan A Gallego, Matthew G Perich, Raeed H Chowdhury, Sara A Solla, Lee E Miller. Nat Neurosci 2020
38
21

Flexible timing by temporal scaling of cortical responses.
Jing Wang, Devika Narain, Eghbal A Hosseini, Mehrdad Jazayeri. Nat Neurosci 2018
114
15

Stimulus-Driven Population Activity Patterns in Macaque Primary Visual Cortex.
Benjamin R Cowley, Matthew A Smith, Adam Kohn, Byron M Yu. PLoS Comput Biol 2016
18
38

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
540
15

Accurate Estimation of Neural Population Dynamics without Spike Sorting.
Eric M Trautmann, Sergey D Stavisky, Subhaneil Lahiri, Katherine C Ames, Matthew T Kaufman, Daniel J O'Shea, Saurabh Vyas, Xulu Sun, Stephen I Ryu, Surya Ganguli,[...]. Neuron 2019
51
15

New neural activity patterns emerge with long-term learning.
Emily R Oby, Matthew D Golub, Jay A Hennig, Alan D Degenhart, Elizabeth C Tyler-Kabara, Byron M Yu, Steven M Chase, Aaron P Batista. Proc Natl Acad Sci U S A 2019
29
24

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
60
13

Neural Population Dynamics Underlying Motor Learning Transfer.
Saurabh Vyas, Nir Even-Chen, Sergey D Stavisky, Stephen I Ryu, Paul Nuyujukian, Krishna V Shenoy. Neuron 2018
41
14

Navigating the Neural Space in Search of the Neural Code.
Mehrdad Jazayeri, Arash Afraz. Neuron 2017
87
13

A category-free neural population supports evolving demands during decision-making.
David Raposo, Matthew T Kaufman, Anne K Churchland. Nat Neurosci 2014
208
13

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
49
13


Single-trial dynamics of motor cortex and their applications to brain-machine interfaces.
Jonathan C Kao, Paul Nuyujukian, Stephen I Ryu, Mark M Churchland, John P Cunningham, Krishna V Shenoy. Nat Commun 2015
74
13

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
110
13

Towards the neural population doctrine.
Shreya Saxena, John P Cunningham. Curr Opin Neurobiol 2019
40
15



Choice-specific sequences in parietal cortex during a virtual-navigation decision task.
Christopher D Harvey, Philip Coen, David W Tank. Nature 2012
466
11


Primary motor cortical discharge during force field adaptation reflects muscle-like dynamics.
Anil Cherian, Hugo L Fernandes, Lee E Miller. J Neurophysiol 2013
19
26

A Dynamical Systems Perspective on Flexible Motor Timing.
Evan D Remington, Seth W Egger, Devika Narain, Jing Wang, Mehrdad Jazayeri. Trends Cogn Sci 2018
32
15

Scaling Properties of Dimensionality Reduction for Neural Populations and Network Models.
Ryan C Williamson, Benjamin R Cowley, Ashok Litwin-Kumar, Brent Doiron, Adam Kohn, Matthew A Smith, Byron M Yu. PLoS Comput Biol 2016
34
14



Neuroscience. Transient dynamics for neural processing.
Misha Rabinovich, Ramon Huerta, Gilles Laurent. Science 2008
219
11


Behaviorally Selective Engagement of Short-Latency Effector Pathways by Motor Cortex.
Andrew Miri, Claire L Warriner, Jeffrey S Seely, Gamaleldin F Elsayed, John P Cunningham, Mark M Churchland, Thomas M Jessell. Neuron 2017
45
11

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
65
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.