A citation-based method for searching scientific literature

David Sussillo, Omri Barak. Neural Comput 2013
Times Cited: 110







List of co-cited articles
666 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
609
55


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
162
30

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
568
27

Neural circuits as computational dynamical systems.
David Sussillo. Curr Opin Neurobiol 2014
81
27

Flexible timing by temporal scaling of cortical responses.
Jing Wang, Devika Narain, Eghbal A Hosseini, Mehrdad Jazayeri. Nat Neurosci 2018
133
22

Dimensionality reduction for large-scale neural recordings.
John P Cunningham, Byron M Yu. Nat Neurosci 2014
384
21





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
605
19


Chaos in random neural networks.
Sompolinsky, Crisanti, Sommers. Phys Rev Lett 1988
267
18

Neural Manifolds for the Control of Movement.
Juan A Gallego, Matthew G Perich, Lee E Miller, Sara A Solla. Neuron 2017
124
18


From fixed points to chaos: three models of delayed discrimination.
Omri Barak, David Sussillo, Ranulfo Romo, Misha Tsodyks, L F Abbott. Prog Neurobiol 2013
78
21

Recurrent Network Models of Sequence Generation and Memory.
Kanaka Rajan, Christopher D Harvey, David W Tank. Neuron 2016
133
17

Cortical control of arm movements: a dynamical systems perspective.
Krishna V Shenoy, Maneesh Sahani, Mark M Churchland. Annu Rev Neurosci 2013
327
17

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
130
17

Flexible Sensorimotor Computations through Rapid Reconfiguration of Cortical Dynamics.
Evan D Remington, Devika Narain, Eghbal A Hosseini, Mehrdad Jazayeri. Neuron 2018
84
20


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
530
15



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
271
15

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
169
15


How the brain keeps the eyes still.
H S Seung. Proc Natl Acad Sci U S A 1996
255
14

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
79
17

State-dependent computations: spatiotemporal processing in cortical networks.
Dean V Buonomano, Wolfgang Maass. Nat Rev Neurosci 2009
427
13

Stimulus-dependent suppression of chaos in recurrent neural networks.
Kanaka Rajan, L F Abbott, Haim Sompolinsky. Phys Rev E Stat Nonlin Soft Matter Phys 2010
117
13

Flexible control of mutual inhibition: a neural model of two-interval discrimination.
Christian K Machens, Ranulfo Romo, Carlos D Brody. Science 2005
303
13

Local Dynamics in Trained Recurrent Neural Networks.
Alexander Rivkind, Omri Barak. Phys Rev Lett 2017
21
57

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
58
20

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
83
14

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

A category-free neural population supports evolving demands during decision-making.
David Raposo, Matthew T Kaufman, Anne K Churchland. Nat Neurosci 2014
220
11

Functional, but not anatomical, separation of "what" and "when" in prefrontal cortex.
Christian K Machens, Ranulfo Romo, Carlos D Brody. J Neurosci 2010
148
11

Deep learning.
Yann LeCun, Yoshua Bengio, Geoffrey Hinton. Nature 2015
11


Neuronal correlates of parametric working memory in the prefrontal cortex.
R Romo, C D Brody, A Hernández, L Lemus. Nature 1999
526
10


Why neurons mix: high dimensionality for higher cognition.
Stefano Fusi, Earl K Miller, Mattia Rigotti. Curr Opin Neurobiol 2016
210
10

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
234
10

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
123
10

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
219
10

Using goal-driven deep learning models to understand sensory cortex.
Daniel L K Yamins, James J DiCarlo. Nat Neurosci 2016
392
10

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
55
16

Computational aspects of feedback in neural circuits.
Wolfgang Maass, Prashant Joshi, Eduardo D Sontag. PLoS Comput Biol 2007
75
12


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.