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: 585







List of co-cited articles
844 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
484
21

Dimensionality reduction for large-scale neural recordings.
John P Cunningham, Byron M Yu. Nat Neurosci 2014
307
17

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
97
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
409
15

Weak pairwise correlations imply strongly correlated network states in a neural population.
Elad Schneidman, Michael J Berry, Ronen Segev, William Bialek. Nature 2006
710
14

Measuring and interpreting neuronal correlations.
Marlene R Cohen, Adam Kohn. Nat Neurosci 2011
492
14


Inferring nonlinear neuronal computation based on physiologically plausible inputs.
James M McFarland, Yuwei Cui, Daniel A Butts. PLoS Comput Biol 2013
73
16

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

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
190
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
84
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

Context-dependent computation by recurrent dynamics in prefrontal cortex.
Valerio Mante, David Sussillo, Krishna V Shenoy, William T Newsome. Nature 2013
512
10

Spike-triggered neural characterization.
Odelia Schwartz, Jonathan W Pillow, Nicole C Rust, Eero P Simoncelli. J Vis 2006
238
10


Information-limiting correlations.
Rubén Moreno-Bote, Jeffrey Beck, Ingmar Kanitscheider, Xaq Pitkow, Peter Latham, Alexandre Pouget. Nat Neurosci 2014
219
9

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
774
9


Distinct timescales of population coding across cortex.
Caroline A Runyan, Eugenio Piasini, Stefano Panzeri, Christopher D Harvey. Nature 2017
91
8

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
176
8

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



How advances in neural recording affect data analysis.
Ian H Stevenson, Konrad P Kording. Nat Neurosci 2011
201
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
373
8

Partitioning neuronal variability.
Robbe L T Goris, J Anthony Movshon, Eero P Simoncelli. Nat Neurosci 2014
221
8

Spontaneous behaviors drive multidimensional, brainwide activity.
Carsen Stringer, Marius Pachitariu, Nicholas Steinmetz, Charu Bai Reddy, Matteo Carandini, Kenneth D Harris. Science 2019
177
8

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
359
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
90
7

Inferring functional connections between neurons.
Ian H Stevenson, James M Rebesco, Lee E Miller, Konrad P Körding. Curr Opin Neurobiol 2008
72
9

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
42
16

Maximum likelihood estimation of a stochastic integrate-and-fire neural encoding model.
Liam Paninski, Jonathan W Pillow, Eero P Simoncelli. Neural Comput 2004
152
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



Complete functional characterization of sensory neurons by system identification.
Michael C-K Wu, Stephen V David, Jack L Gallant. Annu Rev Neurosci 2006
162
6

Using goal-driven deep learning models to understand sensory cortex.
Daniel L K Yamins, James J DiCarlo. Nat Neurosci 2016
296
6

Decoding visual information from a population of retinal ganglion cells.
D K Warland, P Reinagel, M Meister. J Neurophysiol 1997
204
6

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
52
11

Reliability of spike timing in neocortical neurons.
Z F Mainen, T J Sejnowski. Science 1995
6

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
15

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
175
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
65
9

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
503
6

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
26

Neuroscience. How good are neuron models?
Wulfram Gerstner, Richard Naud. Science 2009
102
6

Statistical models for neural encoding, decoding, and optimal stimulus design.
Liam Paninski, Jonathan Pillow, Jeremy Lewi. Prog Brain Res 2007
122
6

Functional dissection of signal and noise in MT and LIP during decision-making.
Jacob L Yates, Il Memming Park, Leor N Katz, Jonathan W Pillow, Alexander C Huk. Nat Neurosci 2017
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.