A citation-based method for searching scientific literature

Jonathan W Pillow, Jonathon Shlens, Liam Paninski, Alexander Sher, Alan M Litke, E J Chichilnisky, Eero P Simoncelli. Nature 2008
Times Cited: 575







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



Times Cited
  Times     Co-cited
Similarity


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
466
21

Dimensionality reduction for large-scale neural recordings.
John P Cunningham, Byron M Yu. Nat Neurosci 2014
303
17


Weak pairwise correlations imply strongly correlated network states in a neural population.
Elad Schneidman, Michael J Berry, Ronen Segev, William Bialek. Nature 2006
707
15

Prediction and decoding of retinal ganglion cell responses with a probabilistic spiking model.
Jonathan W Pillow, Liam Paninski, Valerie J Uzzell, Eero P Simoncelli, E J Chichilnisky. J Neurosci 2005
188
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
398
15

Encoding and decoding in parietal cortex during sensorimotor decision-making.
Il Memming Park, Miriam L R Meister, Alexander C Huk, Jonathan W Pillow. Nat Neurosci 2014
95
15

Measuring and interpreting neuronal correlations.
Marlene R Cohen, Adam Kohn. Nat Neurosci 2011
482
15

Inferring nonlinear neuronal computation based on physiologically plausible inputs.
James M McFarland, Yuwei Cui, Daniel A Butts. PLoS Comput Biol 2013
70
17


The structure of multi-neuron firing patterns in primate retina.
Jonathon Shlens, Greg D Field, Jeffrey L Gauthier, Matthew I Grivich, Dumitru Petrusca, Alexander Sher, Alan M Litke, E J Chichilnisky. J Neurosci 2006
246
12

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
81
14

Searching for collective behavior in a large network of sensory neurons.
Gašper Tkačik, Olivier Marre, Dario Amodei, Elad Schneidman, William Bialek, Michael J Berry. PLoS Comput Biol 2014
95
10



Spike-triggered neural characterization.
Odelia Schwartz, Jonathan W Pillow, Nicole C Rust, Eero P Simoncelli. J Vis 2006
232
9

The functional diversity of retinal ganglion cells in the mouse.
Tom Baden, Philipp Berens, Katrin Franke, Miroslav Román Rosón, Matthias Bethge, Thomas Euler. Nature 2016
350
9


Distinct timescales of population coding across cortex.
Caroline A Runyan, Eugenio Piasini, Stefano Panzeri, Christopher D Harvey. Nature 2017
87
9

Sparse coding and high-order correlations in fine-scale cortical networks.
Ifije E Ohiorhenuan, Ferenc Mechler, Keith P Purpura, Anita M Schmid, Qin Hu, Jonathan D Victor. Nature 2010
166
8

Optimal population coding by noisy spiking neurons.
Gasper Tkacik, Jason S Prentice, Vijay Balasubramanian, Elad Schneidman. Proc Natl Acad Sci U S A 2010
89
8

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
38
21


Information-limiting correlations.
Rubén Moreno-Bote, Jeffrey Beck, Ingmar Kanitscheider, Xaq Pitkow, Peter Latham, Alexandre Pouget. Nat Neurosci 2014
213
8

Context-dependent computation by recurrent dynamics in prefrontal cortex.
Valerio Mante, David Sussillo, Krishna V Shenoy, William T Newsome. Nature 2013
505
8

Multiple neural spike train data analysis: state-of-the-art and future challenges.
Emery N Brown, Robert E Kass, Partha P Mitra. Nat Neurosci 2004
358
8

Maximum likelihood estimation of a stochastic integrate-and-fire neural encoding model.
Liam Paninski, Jonathan W Pillow, Eero P Simoncelli. Neural Comput 2004
149
8

Decoding visual information from a population of retinal ganglion cells.
D K Warland, P Reinagel, M Meister. J Neurophysiol 1997
194
7

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
174
7

Models of Neuronal Stimulus-Response Functions: Elaboration, Estimation, and Evaluation.
Arne F Meyer, Ross S Williamson, Jennifer F Linden, Maneesh Sahani. Front Syst Neurosci 2017
23
30

Statistical models for neural encoding, decoding, and optimal stimulus design.
Liam Paninski, Jonathan Pillow, Jeremy Lewi. Prog Brain Res 2007
117
7


How advances in neural recording affect data analysis.
Ian H Stevenson, Konrad P Kording. Nat Neurosci 2011
196
7

Partitioning neuronal variability.
Robbe L T Goris, J Anthony Movshon, Eero P Simoncelli. Nat Neurosci 2014
210
7

Highly nonrandom features of synaptic connectivity in local cortical circuits.
Sen Song, Per Jesper Sjöström, Markus Reigl, Sacha Nelson, Dmitri B Chklovskii. PLoS Biol 2005
754
7

Inference of neuronal functional circuitry with spike-triggered non-negative matrix factorization.
Jian K Liu, Helene M Schreyer, Arno Onken, Fernando Rozenblit, Mohammad H Khani, Vidhyasankar Krishnamoorthy, Stefano Panzeri, Tim Gollisch. Nat Commun 2017
22
31

Spontaneous behaviors drive multidimensional, brainwide activity.
Carsen Stringer, Marius Pachitariu, Nicholas Steinmetz, Charu Bai Reddy, Matteo Carandini, Kenneth D Harris. Science 2019
167
7

Complete functional characterization of sensory neurons by system identification.
Michael C-K Wu, Stephen V David, Jack L Gallant. Annu Rev Neurosci 2006
151
6


Using goal-driven deep learning models to understand sensory cortex.
Daniel L K Yamins, James J DiCarlo. Nat Neurosci 2016
287
6


Ultrasensitive fluorescent proteins for imaging neuronal activity.
Tsai-Wen Chen, Trevor J Wardill, Yi Sun, Stefan R Pulver, Sabine L Renninger, Amy Baohan, Eric R Schreiter, Rex A Kerr, Michael B Orger, Vivek Jayaraman,[...]. Nature 2013
6

Generalized leaky integrate-and-fire models classify multiple neuron types.
Corinne Teeter, Ramakrishnan Iyer, Vilas Menon, Nathan Gouwens, David Feng, Jim Berg, Aaron Szafer, Nicholas Cain, Hongkui Zeng, Michael Hawrylycz,[...]. Nat Commun 2018
30
20

Modeling the impact of common noise inputs on the network activity of retinal ganglion cells.
Michael Vidne, Yashar Ahmadian, Jonathon Shlens, Jonathan W Pillow, Jayant Kulkarni, Alan M Litke, E J Chichilnisky, Eero Simoncelli, Liam Paninski. J Comput Neurosci 2012
51
11

State dependence of noise correlations in macaque primary visual cortex.
Alexander S Ecker, Philipp Berens, R James Cotton, Manivannan Subramaniyan, George H Denfield, Cathryn R Cadwell, Stelios M Smirnakis, Matthias Bethge, Andreas S Tolias. Neuron 2014
170
6

Direction-Selective Circuits Shape Noise to Ensure a Precise Population Code.
Joel Zylberberg, Jon Cafaro, Maxwell H Turner, Eric Shea-Brown, Fred Rieke. Neuron 2016
64
9

Stimulus onset quenches neural variability: a widespread cortical phenomenon.
Mark M Churchland, Byron M Yu, John P Cunningham, Leo P Sugrue, Marlene R Cohen, Greg S Corrado, William T Newsome, Andrew M Clark, Paymon Hosseini, Benjamin B Scott,[...]. Nat Neurosci 2010
497
6

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
496
6

Neuroscience. How good are neuron models?
Wulfram Gerstner, Richard Naud. Science 2009
100
6

Parameter extraction and classification of three cortical neuron types reveals two distinct adaptation mechanisms.
Skander Mensi, Richard Naud, Christian Pozzorini, Michael Avermann, Carl C H Petersen, Wulfram Gerstner. J Neurophysiol 2012
40
15


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.