A citation-based method for searching scientific literature

Ari S Benjamin, Hugo L Fernandes, Tucker Tomlinson, Pavan Ramkumar, Chris VerSteeg, Raeed H Chowdhury, Lee E Miller, Konrad P Kording. Front Comput Neurosci 2018
Times Cited: 13







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



Times Cited
  Times     Co-cited
Similarity


How advances in neural recording affect data analysis.
Ian H Stevenson, Konrad P Kording. Nat Neurosci 2011
202
30

Using goal-driven deep learning models to understand sensory cortex.
Daniel L K Yamins, James J DiCarlo. Nat Neurosci 2016
314
30

Inferring nonlinear neuronal computation based on physiologically plausible inputs.
James M McFarland, Yuwei Cui, Daniel A Butts. PLoS Comput Biol 2013
75
30

A point process framework for relating neural spiking activity to spiking history, neural ensemble, and extrinsic covariate effects.
Wilson Truccolo, Uri T Eden, Matthew R Fellows, John P Donoghue, Emery N Brown. J Neurophysiol 2005
487
30

Spatio-temporal correlations and visual signalling in a complete neuronal population.
Jonathan W Pillow, Jonathon Shlens, Liam Paninski, Alexander Sher, Alan M Litke, E J Chichilnisky, Eero P Simoncelli. Nature 2008
590
30

Inferring hidden structure in multilayered neural circuits.
Niru Maheswaranathan, David B Kastner, Stephen A Baccus, Surya Ganguli. PLoS Comput Biol 2018
22
23

A recurrent neural network for closed-loop intracortical brain-machine interface decoders.
David Sussillo, Paul Nuyujukian, Joline M Fan, Jonathan C Kao, Sergey D Stavisky, Stephen Ryu, Krishna Shenoy. J Neural Eng 2012
54
23

Dimensionality reduction for large-scale neural recordings.
John P Cunningham, Byron M Yu. Nat Neurosci 2014
315
23

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
23

Population coding of conditional probability distributions in dorsal premotor cortex.
Joshua I Glaser, Matthew G Perich, Pavan Ramkumar, Lee E Miller, Konrad P Kording. Nat Commun 2018
12
25



Temporal precision in the visual pathway through the interplay of excitation and stimulus-driven suppression.
Daniel A Butts, Chong Weng, Jianzhong Jin, Jose-Manuel Alonso, Liam Paninski. J Neurosci 2011
44
23

Statistical models for neural encoding, decoding, and optimal stimulus design.
Liam Paninski, Jonathan Pillow, Jeremy Lewi. Prog Brain Res 2007
123
23

Spontaneous behaviors drive multidimensional, brainwide activity.
Carsen Stringer, Marius Pachitariu, Nicholas Steinmetz, Charu Bai Reddy, Matteo Carandini, Kenneth D Harris. Science 2019
204
23

Deep learning.
Yann LeCun, Yoshua Bengio, Geoffrey Hinton. Nature 2015
23

Mastering the game of Go with deep neural networks and tree search.
David Silver, Aja Huang, Chris J Maddison, Arthur Guez, Laurent Sifre, George van den Driessche, Julian Schrittwieser, Ioannis Antonoglou, Veda Panneershelvam, Marc Lanctot,[...]. Nature 2016
864
15

Retinal prosthetic strategy with the capacity to restore normal vision.
Sheila Nirenberg, Chethan Pandarinath. Proc Natl Acad Sci U S A 2012
105
15


A Task-Optimized Neural Network Replicates Human Auditory Behavior, Predicts Brain Responses, and Reveals a Cortical Processing Hierarchy.
Alexander J E Kell, Daniel L K Yamins, Erica N Shook, Sam V Norman-Haignere, Josh H McDermott. Neuron 2018
72
15

Uncertainty leads to persistent effects on reach representations in dorsal premotor cortex.
Brian M Dekleva, Pavan Ramkumar, Paul A Wanda, Konrad P Kording, Lee E Miller. Elife 2016
14
15

Deep Learning Models of the Retinal Response to Natural Scenes.
Lane T McIntosh, Niru Maheswaranathan, Aran Nayebi, Surya Ganguli, Stephen A Baccus. Adv Neural Inf Process Syst 2016
41
15

Making brain-machine interfaces robust to future neural variability.
David Sussillo, Sergey D Stavisky, Jonathan C Kao, Stephen I Ryu, Krishna V Shenoy. Nat Commun 2016
53
15

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
15


Toward an Integration of Deep Learning and Neuroscience.
Adam H Marblestone, Greg Wayne, Konrad P Kording. Front Comput Neurosci 2016
141
15

Deep supervised, but not unsupervised, models may explain IT cortical representation.
Seyed-Mahdi Khaligh-Razavi, Nikolaus Kriegeskorte. PLoS Comput Biol 2014
328
15

The roles of supervised machine learning in systems neuroscience.
Joshua I Glaser, Ari S Benjamin, Roozbeh Farhoodi, Konrad P Kording. Prog Neurobiol 2019
16
15

OpenSim: open-source software to create and analyze dynamic simulations of movement.
Scott L Delp, Frank C Anderson, Allison S Arnold, Peter Loan, Ayman Habib, Chand T John, Eran Guendelman, Darryl G Thelen. IEEE Trans Biomed Eng 2007
15

Prediction of upper limb muscle activity from motor cortical discharge during reaching.
Eric A Pohlmeyer, Sara A Solla, Eric J Perreault, Lee E Miller. J Neural Eng 2007
72
15


Learning to control a brain-machine interface for reaching and grasping by primates.
Jose M Carmena, Mikhail A Lebedev, Roy E Crist, Joseph E O'Doherty, David M Santucci, Dragan F Dimitrov, Parag G Patil, Craig S Henriquez, Miguel A L Nicolelis. PLoS Biol 2003
770
15

Nonlinear V1 responses to natural scenes revealed by neural network analysis.
Ryan Prenger, Michael C-K Wu, Stephen V David, Jack L Gallant. Neural Netw 2004
39
15

Analyzing neural responses to natural signals: maximally informative dimensions.
Tatyana Sharpee, Nicole C Rust, William Bialek. Neural Comput 2004
179
15

The equivalence of information-theoretic and likelihood-based methods for neural dimensionality reduction.
Ross S Williamson, Maneesh Sahani, Jonathan W Pillow. PLoS Comput Biol 2015
17
15



Spike-triggered neural characterization.
Odelia Schwartz, Jonathan W Pillow, Nicole C Rust, Eero P Simoncelli. J Vis 2006
238
15

Fully integrated silicon probes for high-density recording of neural activity.
James J Jun, Nicholas A Steinmetz, Joshua H Siegle, Daniel J Denman, Marius Bauza, Brian Barbarits, Albert K Lee, Costas A Anastassiou, Alexandru Andrei, Çağatay Aydın,[...]. Nature 2017
451
15

Learning and attention reveal a general relationship between population activity and behavior.
A M Ni, D A Ruff, J J Alberts, J Symmonds, M R Cohen. Science 2018
56
15

Arousal and locomotion make distinct contributions to cortical activity patterns and visual encoding.
Martin Vinck, Renata Batista-Brito, Ulf Knoblich, Jessica A Cardin. Neuron 2015
274
15

Inferring Cortical Variability from Local Field Potentials.
Yuwei Cui, Liu D Liu, James M McFarland, Christopher C Pack, Daniel A Butts. J Neurosci 2016
26
15

Convolutional neural network models of V1 responses to complex patterns.
Yimeng Zhang, Tai Sing Lee, Ming Li, Fang Liu, Shiming Tang. J Comput Neurosci 2019
8
25

Feedback determines the structure of correlated variability in primary visual cortex.
Adrian G Bondy, Ralf M Haefner, Bruce G Cumming. Nat Neurosci 2018
45
15




Diverse coupling of neurons to populations in sensory cortex.
Michael Okun, Nicholas Steinmetz, Lee Cossell, M Florencia Iacaruso, Ho Ko, Péter Barthó, Tirin Moore, Sonja B Hofer, Thomas D Mrsic-Flogel, Matteo Carandini,[...]. Nature 2015
179
15

Neural population control via deep image synthesis.
Pouya Bashivan, Kohitij Kar, James J DiCarlo. Science 2019
57
15

Variability and Correlations in Primary Visual Cortical Neurons Driven by Fixational Eye Movements.
James M McFarland, Bruce G Cumming, Daniel A Butts. J Neurosci 2016
12
16


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.