A citation-based method for searching scientific literature

Saurabh Vyas, Matthew D Golub, David Sussillo, Krishna V Shenoy. Annu Rev Neurosci 2020
Times Cited: 26







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



Times Cited
  Times     Co-cited
Similarity


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
534
50

Context-dependent computation by recurrent dynamics in prefrontal cortex.
Valerio Mante, David Sussillo, Krishna V Shenoy, William T Newsome. Nature 2013
565
38

Bayesian Computation through Cortical Latent Dynamics.
Hansem Sohn, Devika Narain, Nicolas Meirhaeghe, Mehrdad Jazayeri. Neuron 2019
33
38

Cortical control of arm movements: a dynamical systems perspective.
Krishna V Shenoy, Maneesh Sahani, Mark M Churchland. Annu Rev Neurosci 2013
301
34

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
153
34

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
110
34

Towards the neural population doctrine.
Shreya Saxena, John P Cunningham. Curr Opin Neurobiol 2019
43
30

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
45
26

Flexible Sensorimotor Computations through Rapid Reconfiguration of Cortical Dynamics.
Evan D Remington, Devika Narain, Eghbal A Hosseini, Mehrdad Jazayeri. Neuron 2018
71
26

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
48
26

Dimensionality reduction for large-scale neural recordings.
John P Cunningham, Byron M Yu. Nat Neurosci 2014
345
26

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
53
23

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
245
23

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
107
23

Neural Manifolds for the Control of Movement.
Juan A Gallego, Matthew G Perich, Lee E Miller, Sara A Solla. Neuron 2017
100
23

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
44
19

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
238
19

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
207
19

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
53
19

Flexible timing by temporal scaling of cortical responses.
Jing Wang, Devika Narain, Eghbal A Hosseini, Mehrdad Jazayeri. Nat Neurosci 2018
119
19

High-dimensional geometry of population responses in visual cortex.
Carsen Stringer, Marius Pachitariu, Nicholas Steinmetz, Matteo Carandini, Kenneth D Harris. Nature 2019
87
19


Navigating the Neural Space in Search of the Neural Code.
Mehrdad Jazayeri, Arash Afraz. Neuron 2017
97
19



How does the brain solve visual object recognition?
James J DiCarlo, Davide Zoccolan, Nicole C Rust. Neuron 2012
548
19

Structure in neural population recordings: an expected byproduct of simpler phenomena?
Gamaleldin F Elsayed, John P Cunningham. Nat Neurosci 2017
52
19

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
150
19

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
72
19

A central source of movement variability.
Mark M Churchland, Afsheen Afshar, Krishna V Shenoy. Neuron 2006
221
15

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
64
15

Latent Factors and Dynamics in Motor Cortex and Their Application to Brain-Machine Interfaces.
Chethan Pandarinath, K Cora Ames, Abigail A Russo, Ali Farshchian, Lee E Miller, Eva L Dyer, Jonathan C Kao. J Neurosci 2018
19
21

Neural dynamics of reaching following incorrect or absent motor preparation.
K Cora Ames, Stephen I Ryu, Krishna V Shenoy. Neuron 2014
76
15

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
35
15

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
111
15

The intrinsic attractor manifold and population dynamics of a canonical cognitive circuit across waking and sleep.
Rishidev Chaudhuri, Berk Gerçek, Biraj Pandey, Adrien Peyrache, Ila Fiete. Nat Neurosci 2019
41
15

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
69
15

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

Hierarchical reasoning by neural circuits in the frontal cortex.
Morteza Sarafyazd, Mehrdad Jazayeri. Science 2019
29
15

Using goal-driven deep learning models to understand sensory cortex.
Daniel L K Yamins, James J DiCarlo. Nat Neurosci 2016
351
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
33
15

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
252
15


Cortical Areas Interact through a Communication Subspace.
João D Semedo, Amin Zandvakili, Christian K Machens, Byron M Yu, Adam Kohn. Neuron 2019
57
15

Optimal feedback control as a theory of motor coordination.
Emanuel Todorov, Michael I Jordan. Nat Neurosci 2002
15

Single-trial neural dynamics are dominated by richly varied movements.
Simon Musall, Matthew T Kaufman, Ashley L Juavinett, Steven Gluf, Anne K Churchland. Nat Neurosci 2019
173
15

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
77
15

A memory of errors in sensorimotor learning.
David J Herzfeld, Pavan A Vaswani, Mollie K Marko, Reza Shadmehr. Science 2014
133
11


Neuroscience Needs Behavior: Correcting a Reductionist Bias.
John W Krakauer, Asif A Ghazanfar, Alex Gomez-Marin, Malcolm A MacIver, David Poeppel. Neuron 2017
371
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.