A citation-based method for searching scientific literature

Gabrielle J Gutierrez, Sophie Denève. Elife 2019
Times Cited: 3







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



Times Cited
  Times     Co-cited
Similarity


Predictive coding of dynamical variables in balanced spiking networks.
Martin Boerlin, Christian K Machens, Sophie Denève. PLoS Comput Biol 2013
86
66

Maximum likelihood estimation of a stochastic integrate-and-fire neural encoding model.
Liam Paninski, Jonathan W Pillow, Eero P Simoncelli. Neural Comput 2004
153
66

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
596
66

Constructing Precisely Computing Networks with Biophysical Spiking Neurons.
Michael A Schwemmer, Adrienne L Fairhall, Sophie Denéve, Eric T Shea-Brown. J Neurosci 2015
20
66

The mechanics of state-dependent neural correlations.
Brent Doiron, Ashok Litwin-Kumar, Robert Rosenbaum, Gabriel K Ocker, Krešimir Josić. Nat Neurosci 2016
101
33

On numerical simulations of integrate-and-fire neural networks.
D Hansel, G Mato, C Meunier, L Neltner. Neural Comput 1998
109
33


The Brain as an Efficient and Robust Adaptive Learner.
Sophie Denève, Alireza Alemi, Ralph Bourdoukan. Neuron 2017
39
33


Inferring synaptic inputs from spikes with a conductance-based neural encoding model.
Kenneth W Latimer, Fred Rieke, Jonathan W Pillow. Elife 2019
7
33


Synchronized firing in the retina.
Jonathon Shlens, Fred Rieke, Ej Chichilnisky. Curr Opin Neurobiol 2008
46
33

Neocortical network activity in vivo is generated through a dynamic balance of excitation and inhibition.
Bilal Haider, Alvaro Duque, Andrea R Hasenstaub, David A McCormick. J Neurosci 2006
553
33


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
518
33




full-FORCE: A target-based method for training recurrent networks.
Brian DePasquale, Christopher J Cueva, Kanaka Rajan, G Sean Escola, L F Abbott. PLoS One 2018
24
33


Learning to represent signals spike by spike.
Wieland Brendel, Ralph Bourdoukan, Pietro Vertechi, Christian K Machens, Sophie Denève. PLoS Comput Biol 2020
2
50

Spike-based population coding and working memory.
Martin Boerlin, Sophie Denève. PLoS Comput Biol 2011
51
33

Neural computations that underlie decisions about sensory stimuli.
J I. Gold, M N. Shadlen. Trends Cogn Sci 2001
471
33

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
103
33

Responses of neurons in macaque MT to stochastic motion signals.
K H Britten, M N Shadlen, W T Newsome, J A Movshon. Vis Neurosci 1993
405
33

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
194
33


SuperSpike: Supervised Learning in Multilayer Spiking Neural Networks.
Friedemann Zenke, Surya Ganguli. Neural Comput 2018
52
33




Stochastic variational learning in recurrent spiking networks.
Danilo Jimenez Rezende, Wulfram Gerstner. Front Comput Neurosci 2014
27
33

Efficient computation and cue integration with noisy population codes.
S Deneve, P E Latham, A Pouget. Nat Neurosci 2001
191
33


Neural circuit dynamics underlying accumulation of time-varying evidence during perceptual decision making.
Kong-Fatt Wong, Alexander C Huk, Michael N Shadlen, Xiao-Jing Wang. Front Comput Neurosci 2007
118
33

A modeling framework for deriving the structural and functional architecture of a short-term memory microcircuit.
Dimitry Fisher, Itsaso Olasagasti, David W Tank, Emre R F Aksay, Mark S Goldman. Neuron 2013
34
33


From fixed points to chaos: three models of delayed discrimination.
Omri Barak, David Sussillo, Ranulfo Romo, Misha Tsodyks, L F Abbott. Prog Neurobiol 2013
72
33

Rats and humans can optimally accumulate evidence for decision-making.
Bingni W Brunton, Matthew M Botvinick, Carlos D Brody. Science 2013
270
33

What causes a neuron to spike?
Blaise Agüera y Arcas, Adrienne L Fairhall. Neural Comput 2003
83
33

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
203
33

Memory traces in dynamical systems.
Surya Ganguli, Dongsung Huh, Haim Sompolinsky. Proc Natl Acad Sci U S A 2008
111
33



A spike-train probability model.
R E Kass, V Ventura. Neural Comput 2001
118
33


Flexible control of mutual inhibition: a neural model of two-interval discrimination.
Christian K Machens, Ranulfo Romo, Carlos D Brody. Science 2005
292
33


Chaos in random neural networks.
Sompolinsky, Crisanti, Sommers. Phys Rev Lett 1988
245
33



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.