A citation-based method for searching scientific literature

Sophia M Shatek, Tijl Grootswagers, Amanda K Robinson, Thomas A Carlson. Vision (Basel) 2019
Times Cited: 4







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



Times Cited
  Times     Co-cited
Similarity


MEG and EEG data analysis with MNE-Python.
Alexandre Gramfort, Martin Luessi, Eric Larson, Denis A Engemann, Daniel Strohmeier, Christian Brodbeck, Roman Goj, Mainak Jas, Teon Brooks, Lauri Parkkonen,[...]. Front Neurosci 2013
743
75


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
75


CoSMoMVPA: Multi-Modal Multivariate Pattern Analysis of Neuroimaging Data in Matlab/GNU Octave.
Nikolaas N Oosterhof, Andrew C Connolly, James V Haxby. Front Neuroinform 2016
244
50



Assessing and tuning brain decoders: Cross-validation, caveats, and guidelines.
Gaël Varoquaux, Pradeep Reddy Raamana, Denis A Engemann, Andrés Hoyos-Idrobo, Yannick Schwartz, Bertrand Thirion. Neuroimage 2017
296
50

Semantic Knowledge of Famous People and Places Is Represented in Hippocampus and Distinct Cortical Networks.
Neal W Morton, Ellen L Zippi, Sharon M Noh, Alison R Preston. J Neurosci 2021
9
50

Untangling featural and conceptual object representations.
Tijl Grootswagers, Amanda K Robinson, Sophia M Shatek, Thomas A Carlson. Neuroimage 2019
15
50

Studying the Manifold Structure of Alzheimer's Disease: A Deep Learning Approach Using Convolutional Autoencoders.
Francisco J Martinez-Murcia, Andres Ortiz, Juan-Manuel Gorriz, Javier Ramirez, Diego Castillo-Barnes. IEEE J Biomed Health Inform 2020
29
25

Measuring neural representations with fMRI: practices and pitfalls.
Tyler Davis, Russell A Poldrack. Ann N Y Acad Sci 2013
76
25


Computer-aided diagnosis and artificial intelligence in clinical imaging.
Junji Shiraishi, Qiang Li, Daniel Appelbaum, Kunio Doi. Semin Nucl Med 2011
69
25

Diagnosis of Coronavirus Disease 2019 Pneumonia by Using Chest Radiography: Value of Artificial Intelligence.
Ran Zhang, Xin Tie, Zhihua Qi, Nicholas B Bevins, Chengzhu Zhang, Dalton Griner, Thomas K Song, Jeffrey D Nadig, Mark L Schiebler, John W Garrett,[...]. Radiology 2021
49
25

Decoding mental states from brain activity in humans.
John-Dylan Haynes, Geraint Rees. Nat Rev Neurosci 2006
934
25

From ERPs to MVPA Using the Amsterdam Decoding and Modeling Toolbox (ADAM).
Johannes J Fahrenfort, Joram van Driel, Simon van Gaal, Christian N L Olivers. Front Neurosci 2018
47
25

Covid-19 classification by FGCNet with deep feature fusion from graph convolutional network and convolutional neural network.
Shui-Hua Wang, Vishnu Varthanan Govindaraj, Juan Manuel Górriz, Xin Zhang, Yu-Dong Zhang. Inf Fusion 2021
63
25

FieldTrip: Open source software for advanced analysis of MEG, EEG, and invasive electrophysiological data.
Robert Oostenveld, Pascal Fries, Eric Maris, Jan-Mathijs Schoffelen. Comput Intell Neurosci 2011
25

Crossmodal and action-specific: neuroimaging the human mirror neuron system.
Nikolaas N Oosterhof, Steven P Tipper, Paul E Downing. Trends Cogn Sci 2013
55
25

Measuring electrophysiological connectivity by power envelope correlation: a technical review on MEG methods.
George C O'Neill, Eleanor L Barratt, Benjamin A E Hunt, Prejaas K Tewarie, Matthew J Brookes. Phys Med Biol 2015
63
25

PRoNTo: pattern recognition for neuroimaging toolbox.
J Schrouff, M J Rosa, J M Rondina, A F Marquand, C Chu, J Ashburner, C Phillips, J Richiardi, J Mourão-Miranda. Neuroinformatics 2013
263
25

Machine learning classifiers and fMRI: a tutorial overview.
Francisco Pereira, Tom Mitchell, Matthew Botvinick. Neuroimage 2009
888
25

The Berlin Brain-Computer Interface: Progress Beyond Communication and Control.
Benjamin Blankertz, Laura Acqualagna, Sven Dähne, Stefan Haufe, Matthias Schultze-Kraft, Irene Sturm, Marija Ušćumlic, Markus A Wenzel, Gabriel Curio, Klaus-Robert Müller. Front Neurosci 2016
87
25


Benchmark on a large cohort for sleep-wake classification with machine learning techniques.
Joao Palotti, Raghvendra Mall, Michael Aupetit, Michael Rueschman, Meghna Singh, Aarti Sathyanarayana, Shahrad Taheri, Luis Fernandez-Luque. NPJ Digit Med 2019
17
25

ERPLAB: an open-source toolbox for the analysis of event-related potentials.
Javier Lopez-Calderon, Steven J Luck. Front Hum Neurosci 2014
25

I tried a bunch of things: The dangers of unexpected overfitting in classification of brain data.
Mahan Hosseini, Michael Powell, John Collins, Chloe Callahan-Flintoft, William Jones, Howard Bowman, Brad Wyble. Neurosci Biobehav Rev 2020
36
25

Introduction to machine learning for brain imaging.
Steven Lemm, Benjamin Blankertz, Thorsten Dickhaus, Klaus-Robert Müller. Neuroimage 2011
323
25

Information-based functional brain mapping.
Nikolaus Kriegeskorte, Rainer Goebel, Peter Bandettini. Proc Natl Acad Sci U S A 2006
25

BCILAB: a platform for brain-computer interface development.
Christian Andreas Kothe, Scott Makeig. J Neural Eng 2013
132
25

The dynamics of invariant object recognition in the human visual system.
Leyla Isik, Ethan M Meyers, Joel Z Leibo, Tomaso Poggio. J Neurophysiol 2014
125
25

The representational dynamics of task and object processing in humans.
Martin N Hebart, Brett B Bankson, Assaf Harel, Chris I Baker, Radoslaw M Cichy. Elife 2018
62
25

PyMVPA: A Unifying Approach to the Analysis of Neuroscientific Data.
Michael Hanke, Yaroslav O Halchenko, Per B Sederberg, Emanuele Olivetti, Ingo Fründ, Jochem W Rieger, Christoph S Herrmann, James V Haxby, Stephen José Hanson, Stefan Pollmann. Front Neuroinform 2009
66
25

Machine learning for neuroimaging with scikit-learn.
Alexandre Abraham, Fabian Pedregosa, Michael Eickenberg, Philippe Gervais, Andreas Mueller, Jean Kossaifi, Alexandre Gramfort, Bertrand Thirion, Gaël Varoquaux. Front Neuroinform 2014
572
25

Comparison of multivariate classifiers and response normalizations for pattern-information fMRI.
Masaya Misaki, Youn Kim, Peter A Bandettini, Nikolaus Kriegeskorte. Neuroimage 2010
284
25

Single-trial decoding of auditory novelty responses facilitates the detection of residual consciousness.
J R King, F Faugeras, A Gramfort, A Schurger, I El Karoui, J D Sitt, B Rohaut, C Wacongne, E Labyt, T Bekinschtein,[...]. Neuroimage 2013
95
25

Revealing representational content with pattern-information fMRI--an introductory guide.
Marieke Mur, Peter A Bandettini, Nikolaus Kriegeskorte. Soc Cogn Affect Neurosci 2009
241
25

Surface-based information mapping reveals crossmodal vision-action representations in human parietal and occipitotemporal cortex.
Nikolaas N Oosterhof, Alison J Wiggett, Jörn Diedrichsen, Steven P Tipper, Paul E Downing. J Neurophysiol 2010
137
25

Convolutional Neural Networks for Neuroimaging in Parkinson's Disease: Is Preprocessing Needed?
Francisco J Martinez-Murcia, Juan M Górriz, Javier Ramírez, Andres Ortiz. Int J Neural Syst 2018
25
25

Use of machine learning to shorten observation-based screening and diagnosis of autism.
D P Wall, J Kosmicki, T F Deluca, E Harstad, V A Fusaro. Transl Psychiatry 2012
89
25


Model-based and Model-free Machine Learning Techniques for Diagnostic Prediction and Classification of Clinical Outcomes in Parkinson's Disease.
Chao Gao, Hanbo Sun, Tuo Wang, Ming Tang, Nicolaas I Bohnen, Martijn L T M Müller, Talia Herman, Nir Giladi, Alexandr Kalinin, Cathie Spino,[...]. Sci Rep 2018
39
25

Advances in multimodal data fusion in neuroimaging: Overview, challenges, and novel orientation.
Yu-Dong Zhang, Zhengchao Dong, Shui-Hua Wang, Xiang Yu, Xujing Yao, Qinghua Zhou, Hua Hu, Min Li, Carmen Jiménez-Mesa, Javier Ramirez,[...]. Inf Fusion 2020
42
25

Filters: When, Why, and How (Not) to Use Them.
Alain de Cheveigné, Israel Nelken. Neuron 2019
56
25

A Machine Learning Approach to Reveal the NeuroPhenotypes of Autisms.
Juan M Górriz, Javier Ramírez, F Segovia, Francisco J Martínez, Meng-Chuan Lai, Michael V Lombardo, Simon Baron-Cohen, John Suckling. Int J Neural Syst 2019
14
25

A review of feature reduction techniques in neuroimaging.
Benson Mwangi, Tian Siva Tian, Jair C Soares. Neuroinformatics 2014
201
25

The brain imaging data structure, a format for organizing and describing outputs of neuroimaging experiments.
Krzysztof J Gorgolewski, Tibor Auer, Vince D Calhoun, R Cameron Craddock, Samir Das, Eugene P Duff, Guillaume Flandin, Satrajit S Ghosh, Tristan Glatard, Yaroslav O Halchenko,[...]. Sci Data 2016
471
25

Testing simulation theory with cross-modal multivariate classification of fMRI data.
Joset A Etzel, Valeria Gazzola, Christian Keysers. PLoS One 2008
76
25

The Decision Decoding ToolBOX (DDTBOX) - A Multivariate Pattern Analysis Toolbox for Event-Related Potentials.
Stefan Bode, Daniel Feuerriegel, Daniel Bennett, Phillip M Alday. Neuroinformatics 2019
23
25


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.