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



Times Cited
  Times     Co-cited
Similarity


Generative adversarial networks for reconstructing natural images from brain activity.
K Seeliger, U Güçlü, L Ambrogioni, Y Güçlütürk, M A J van Gerven. Neuroimage 2018
15
33

Encoding and decoding in fMRI.
Thomas Naselaris, Kendrick N Kay, Shinji Nishimoto, Jack L Gallant. Neuroimage 2011
315
33

Neural decoding of visual imagery during sleep.
T Horikawa, M Tamaki, Y Miyawaki, Y Kamitani. Science 2013
175
33



Visual image reconstruction from human brain activity using a combination of multiscale local image decoders.
Yoichi Miyawaki, Hajime Uchida, Okito Yamashita, Masa-aki Sato, Yusuke Morito, Hiroki C Tanabe, Norihiro Sadato, Yukiyasu Kamitani. Neuron 2008
194
33

Identifying natural images from human brain activity.
Kendrick N Kay, Thomas Naselaris, Ryan J Prenger, Jack L Gallant. Nature 2008
530
33


Decoding the visual and subjective contents of the human brain.
Yukiyasu Kamitani, Frank Tong. Nat Neurosci 2005
33

Distributed and overlapping representations of faces and objects in ventral temporal cortex.
J V Haxby, M I Gobbini, M L Furey, A Ishai, J L Schouten, P Pietrini. Science 2001
33

Long short-term memory.
S Hochreiter, J Schmidhuber. Neural Comput 1997
33

Machine translation of cortical activity to text with an encoder-decoder framework.
Joseph G Makin, David A Moses, Edward F Chang. Nat Neurosci 2020
30
33

Using goal-driven deep learning models to understand sensory cortex.
Daniel L K Yamins, James J DiCarlo. Nat Neurosci 2016
351
33

Brain-to-text: decoding spoken phrases from phone representations in the brain.
Christian Herff, Dominic Heger, Adriana de Pesters, Dominic Telaar, Peter Brunner, Gerwin Schalk, Tanja Schultz. Front Neurosci 2015
74
33

Population receptive field estimates in human visual cortex.
Serge O Dumoulin, Brian A Wandell. Neuroimage 2008
586
33



Deep learning in neural networks: an overview.
Jürgen Schmidhuber. Neural Netw 2015
16

A visual encoding model based on deep neural networks and transfer learning for brain activity measured by functional magnetic resonance imaging.
Chi Zhang, Kai Qiao, Linyuan Wang, Li Tong, Guoen Hu, Ru-Yuan Zhang, Bin Yan. J Neurosci Methods 2019
8
16

Inverse retinotopy: inferring the visual content of images from brain activation patterns.
Bertrand Thirion, Edouard Duchesnay, Edward Hubbard, Jessica Dubois, Jean-Baptiste Poline, Denis Lebihan, Stanislas Dehaene. Neuroimage 2006
148
16

Linear reconstruction of perceived images from human brain activity.
Sanne Schoenmakers, Markus Barth, Tom Heskes, Marcel van Gerven. Neuroimage 2013
39
16

Decoding mental states from brain activity in humans.
John-Dylan Haynes, Geraint Rees. Nat Rev Neurosci 2006
895
16

Visual object recognition.
N K Logothetis, D L Sheinberg. Annu Rev Neurosci 1996
618
16

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
480
16

Bayesian reconstruction of natural images from human brain activity.
Thomas Naselaris, Ryan J Prenger, Kendrick N Kay, Michael Oliver, Jack L Gallant. Neuron 2009
222
16

Beyond mind-reading: multi-voxel pattern analysis of fMRI data.
Kenneth A Norman, Sean M Polyn, Greg J Detre, James V Haxby. Trends Cogn Sci 2006
16


Neural population control via deep image synthesis.
Pouya Bashivan, Kohitij Kar, James J DiCarlo. Science 2019
73
16

Constraint-Free Natural Image Reconstruction From fMRI Signals Based on Convolutional Neural Network.
Chi Zhang, Kai Qiao, Linyuan Wang, Li Tong, Ying Zeng, Bin Yan. Front Hum Neurosci 2018
5
20

Brain magnetic resonance imaging with contrast dependent on blood oxygenation.
S Ogawa, T M Lee, A R Kay, D W Tank. Proc Natl Acad Sci U S A 1990
16

Predicting human brain activity associated with the meanings of nouns.
Tom M Mitchell, Svetlana V Shinkareva, Andrew Carlson, Kai-Min Chang, Vicente L Malave, Robert A Mason, Marcel Adam Just. Science 2008
418
16


Neural decoding with hierarchical generative models.
Marcel A J van Gerven, Floris P de Lange, Tom Heskes. Neural Comput 2010
19
16

LSTM: A Search Space Odyssey.
Klaus Greff, Rupesh K Srivastava, Jan Koutnik, Bas R Steunebrink, Jurgen Schmidhuber. IEEE Trans Neural Netw Learn Syst 2017
228
16

Meeting brain-computer interface user performance expectations using a deep neural network decoding framework.
Michael A Schwemmer, Nicholas D Skomrock, Per B Sederberg, Jordyn E Ting, Gaurav Sharma, Marcia A Bockbrader, David A Friedenberg. Nat Med 2018
34
16

An empirical comparison of neural networks and machine learning algorithms for EEG gait decoding.
Sho Nakagome, Trieu Phat Luu, Yongtian He, Akshay Sujatha Ravindran, Jose L Contreras-Vidal. Sci Rep 2020
7
16


Towards a brain-based predictome of mental illness.
Barnaly Rashid, Vince Calhoun. Hum Brain Mapp 2020
19
16

fMRI pattern recognition in obsessive-compulsive disorder.
Martin Weygandt, Carlo R Blecker, Axel Schäfer, Kerstin Hackmack, John-Dylan Haynes, Dieter Vaitl, Rudolf Stark, Anne Schienle. Neuroimage 2012
37
16



Neural decoding of spoken vowels from human sensory-motor cortex with high-density electrocorticography.
Kristofer E Bouchard, Edward F Chang. Annu Int Conf IEEE Eng Med Biol Soc 2014
19
16

Electrocorticographic amplitude predicts finger positions during slow grasping motions of the hand.
Soumyadipta Acharya, Matthew S Fifer, Heather L Benz, Nathan E Crone, Nitish V Thakor. J Neural Eng 2010
87
16


A Comparison of Neural Decoding Methods and Population Coding Across Thalamo-Cortical Head Direction Cells.
Zishen Xu, Wei Wu, Shawn S Winter, Max L Mehlman, William N Butler, Christine M Simmons, Ryan E Harvey, Laura E Berkowitz, Yang Chen, Jeffrey S Taube,[...]. Front Neural Circuits 2019
2
50

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
73
16

Decoding speech from spike-based neural population recordings in secondary auditory cortex of non-human primates.
Christopher Heelan, Jihun Lee, Ronan O'Shea, Laurie Lynch, David M Brandman, Wilson Truccolo, Arto V Nurmikko. Commun Biol 2019
7
16

Functional organization of human sensorimotor cortex for speech articulation.
Kristofer E Bouchard, Nima Mesgarani, Keith Johnson, Edward F Chang. Nature 2013
258
16

Gait adaptation to visual kinematic perturbations using a real-time closed-loop brain-computer interface to a virtual reality avatar.
Trieu Phat Luu, Yongtian He, Samuel Brown, Sho Nakagame, Jose L Contreras-Vidal. J Neural Eng 2016
34
16

Decoding spoken words using local field potentials recorded from the cortical surface.
Spencer Kellis, Kai Miller, Kyle Thomson, Richard Brown, Paul House, Bradley Greger. J Neural Eng 2010
107
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.