A citation-based method for searching scientific literature


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



Times Cited
  Times     Co-cited
Similarity


Compressive spatial summation in human visual cortex.
Kendrick N Kay, Jonathan Winawer, Aviv Mezer, Brian A Wandell. J Neurophysiol 2013
107
100

Computational neuroimaging and population receptive fields.
Brian A Wandell, Jonathan Winawer. Trends Cogn Sci 2015
70
100


Population receptive field estimates in human visual cortex.
Serge O Dumoulin, Brian A Wandell. Neuroimage 2008
552
100

Mapping behavioral repertoire onto the cortex.
Michael S A Graziano, Tyson N Aflalo. Neuron 2007
166
100

The distributed human neural system for face perception.
Haxby, Hoffman, Gobbini. Trends Cogn Sci 2000
100

Representational Distance Learning for Deep Neural Networks.
Patrick McClure, Nikolaus Kriegeskorte. Front Comput Neurosci 2016
7
100

General overview on the merits of multimodal neuroimaging data fusion.
Kâmil Uludağ, Alard Roebroeck. Neuroimage 2014
64
100



Gaussian mixture models and semantic gating improve reconstructions from human brain activity.
Sanne Schoenmakers, Umut Güçlü, Marcel van Gerven, Tom Heskes. Front Comput Neurosci 2015
4
100

Mind Reading and Writing: The Future of Neurotechnology.
Pieter R Roelfsema, Damiaan Denys, P Christiaan Klink. Trends Cogn Sci 2018
18
100


Modeling the Dynamics of Human Brain Activity with Recurrent Neural Networks.
Umut Güçlü, Marcel A J van Gerven. Front Comput Neurosci 2017
28
100

Comparison of deep neural networks to spatio-temporal cortical dynamics of human visual object recognition reveals hierarchical correspondence.
Radoslaw Martin Cichy, Aditya Khosla, Dimitrios Pantazis, Antonio Torralba, Aude Oliva. Sci Rep 2016
164
100

Independence of luminance and contrast in natural scenes and in the early visual system.
Valerio Mante, Robert A Frazor, Vincent Bonin, Wilson S Geisler, Matteo Carandini. Nat Neurosci 2005
211
100

Recurrence is required to capture the representational dynamics of the human visual system.
Tim C Kietzmann, Courtney J Spoerer, Lynn K A Sörensen, Radoslaw M Cichy, Olaf Hauk, Nikolaus Kriegeskorte. Proc Natl Acad Sci U S A 2019
44
100

Motion detection based on recurrent network dynamics.
Jeroen Joukes, Till S Hartmann, Bart Krekelberg. Front Syst Neurosci 2014
10
100

How advances in neural recording affect data analysis.
Ian H Stevenson, Konrad P Kording. Nat Neurosci 2011
202
100

Blending computational and experimental neuroscience.
Patricia S Churchland, Terrence J Sejnowski. Nat Rev Neurosci 2016
7
100


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
100

Inception loops discover what excites neurons most using deep predictive models.
Edgar Y Walker, Fabian H Sinz, Erick Cobos, Taliah Muhammad, Emmanouil Froudarakis, Paul G Fahey, Alexander S Ecker, Jacob Reimer, Xaq Pitkow, Andreas S Tolias. Nat Neurosci 2019
11
100


Linear reconstruction of perceived images from human brain activity.
Sanne Schoenmakers, Markus Barth, Tom Heskes, Marcel van Gerven. Neuroimage 2013
39
100

Complete functional characterization of sensory neurons by system identification.
Michael C-K Wu, Stephen V David, Jack L Gallant. Annu Rev Neurosci 2006
166
100

Modality-independent decoding of semantic information from the human brain.
Irina Simanova, Peter Hagoort, Robert Oostenveld, Marcel A J van Gerven. Cereb Cortex 2014
59
100

Evolving Images for Visual Neurons Using a Deep Generative Network Reveals Coding Principles and Neuronal Preferences.
Carlos R Ponce, Will Xiao, Peter F Schade, Till S Hartmann, Gabriel Kreiman, Margaret S Livingstone. Cell 2019
38
100

Encoding and decoding in fMRI.
Thomas Naselaris, Kendrick N Kay, Shinji Nishimoto, Jack L Gallant. Neuroimage 2011
296
100


Reconstructing visual experiences from brain activity evoked by natural movies.
Shinji Nishimoto, An T Vu, Thomas Naselaris, Yuval Benjamini, Bin Yu, Jack L Gallant. Curr Biol 2011
260
100

Methods for computing the maximum performance of computational models of fMRI responses.
Agustin Lage-Castellanos, Giancarlo Valente, Elia Formisano, Federico De Martino. PLoS Comput Biol 2019
5
100



Dynamic causal modelling.
K J Friston, L Harrison, W Penny. Neuroimage 2003
100

Predicting neuronal responses during natural vision.
Stephen V David, Jack L Gallant. Network 2005
89
100

64
100

Decoding neural representational spaces using multivariate pattern analysis.
James V Haxby, Andrew C Connolly, J Swaroop Guntupalli. Annu Rev Neurosci 2014
263
100

Neural population control via deep image synthesis.
Pouya Bashivan, Kohitij Kar, James J DiCarlo. Science 2019
57
100

Pycortex: an interactive surface visualizer for fMRI.
James S Gao, Alexander G Huth, Mark D Lescroart, Jack L Gallant. Front Neuroinform 2015
46
100

Model Constrained by Visual Hierarchy Improves Prediction of Neural Responses to Natural Scenes.
Ján Antolík, Sonja B Hofer, James A Bednar, Thomas D Mrsic-Flogel. PLoS Comput Biol 2016
16
100


Deep convolutional models improve predictions of macaque V1 responses to natural images.
Santiago A Cadena, George H Denfield, Edgar Y Walker, Leon A Gatys, Andreas S Tolias, Matthias Bethge, Alexander S Ecker. PLoS Comput Biol 2019
37
100

Using goal-driven deep learning models to understand sensory cortex.
Daniel L K Yamins, James J DiCarlo. Nat Neurosci 2016
314
100

Variational autoencoder: An unsupervised model for encoding and decoding fMRI activity in visual cortex.
Kuan Han, Haiguang Wen, Junxing Shi, Kun-Han Lu, Yizhen Zhang, Di Fu, Zhongming Liu. Neuroimage 2019
17
100


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.