Francisco Pereira

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Matthew BotvinickGoogle DeepMindVerified email at google.com
Tom MitchellFounders University Professor of Machine Learning, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Marcel JustProfessor of Psychology, Carnegie Mellon UniversityVerified email at cmu.edu
Dylan M. NielsonNIMH National Institutes of HealthVerified email at nih.gov
Rebecca HutchinsonOregon State UniversityVerified email at eecs.orst.edu
Xuerui WangUber Technologies, Inc.Verified email at uber.com
Bin LouSiemens HealthineersVerified email at siemens.com
Evelina (Ev) FedorenkoMIT, Associate ProfessorVerified email at mit.edu
Peter A. BandettiniChief, Section on Functional Imaging Methods, National Institute of Mental HealthVerified email at nih.gov
Sharlene NewmanIndiana UniversityVerified email at indiana.edu
Samuel GershmanProfessor, Harvard UniversityVerified email at fas.harvard.edu
Adam G. ThomasData Science and Sharing Team, NIMH, National Institutes of HealthVerified email at nih.gov
Charles Yang ZhengNational Institute of Mental HealthVerified email at nih.gov
Patrick McClureMachine Learning Team, National Institute of Mental HealthVerified email at nih.gov
Martin N. HebartMax-Planck-Institute for Human Cognitive and Brain Sciences, Leipzig, GermanyVerified email at cbs.mpg.de
Chris BakerSenior Investigator, NIMHVerified email at mail.nih.gov
Samuel RitterResearch Scientist, DeepMindVerified email at google.com
Greg DetreFormerly Princeton UniversityVerified email at gregdetre.co.uk
Argyris StringarisProfessor of Child and Adolescent Psychiatry at University College London and NKUAVerified email at ucl.ac.uk
Nancy KanwisherWalter A. Rosenblith Professor of Cognitive NeuroscienceVerified email at mit.edu

Francisco Pereira

Machine Learning Team, National Institute of Mental Health

Verified email at nih.gov - Homepage

Machine Learning Brain Imaging Cognitive Neuroscience


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Machine learning classifiers and fMRI: a tutorial overview F Pereira, T Mitchell, M Botvinick Neuroimage 45 (1), S199-S209, 2009	1812	2009
Learning to decode cognitive states from brain images TM Mitchell, R Hutchinson, RS Niculescu, F Pereira, X Wang, M Just, ... Machine learning 57 (1), 145-175, 2004	985*	2004
Toward a universal decoder of linguistic meaning from brain activation F Pereira, B Lou, B Pritchett, S Ritter, S Gershman, N Kanwisher, ... Nature Communications 9 (963), 2018	248	2018
Information mapping with pattern classifiers: a comparative study F Pereira, M Botvinick Neuroimage 56 (2), 476-496, 2011	178	2011
Reproducibility distinguishes conscious from nonconscious neural representations A Schurger, F Pereira, A Treisman, JD Cohen Science 327 (5961), 97-99, 2010	151	2010
A comparative evaluation of off-the-shelf distributed semantic representations for modelling behavioural data F Pereira, S Gershman, S Ritter, M Botvinick Cognitive neuropsychology 33 (3-4), 175-190, 2016	131	2016
Revealing the multidimensional mental representations of natural objects underlying human similarity judgements M Hebart, C Zheng, F Pereira, C Baker Nature Human Behaviour, 2020	124	2020
Using Wikipedia to learn semantic feature representations of concrete concepts in neuroimaging experiments F Pereira, M Botvinick, G Detre Artificial intelligence 194, 240-252, 2013	85*	2013
Generating text from functional brain images F Pereira, G Detre, M Botvinick Frontiers in human neuroscience 5, 72, 2011	84*	2011
Closed-form supervised dimensionality reduction with generalized linear models I Rish, G Grabarnik, G Cecchi, F Pereira, GJ Gordon Proceedings of the 25th International Conference on Machine learning, 832-839, 2008	83	2008
Detecting significant multidimensional spatial clusters D Neill, A Moore, F Pereira, TM Mitchell Advances in Neural Information Processing Systems 17, 969-976, 2004	75	2004
Distinguishing grammatical constructions with fMRI pattern analysis K Allen, F Pereira, M Botvinick, AE Goldberg Brain and language 123 (3), 174-182, 2012	72	2012
Data‐driven identification of subtypes of executive function across typical development, attention deficit hyperactivity disorder, and autism spectrum disorders CJ Vaidya, X You, S Mostofsky, F Pereira, MM Berl, L Kenworthy Journal of Child Psychology and Psychiatry 61 (1), 51-61, 2020	70	2020
The support vector decomposition machine F Pereira, G Gordon Proceedings of the 23rd international conference on Machine learning, 689-696, 2006	68	2006
Semantic projection recovers rich human knowledge of multiple object features from word embeddings G Grand, IA Blank, F Pereira, E Fedorenko Nature human behaviour 6 (7), 975-987, 2022	66*	2022
Network, anatomical, and non-imaging measures for the prediction of ADHD diagnosis in individual subjects JW Bohland, S Saperstein, F Pereira, J Rapin, L Grady Frontiers in systems neuroscience 6, 78, 2012	62	2012
Imaging the spontaneous flow of thought: Distinct periods of cognition contribute to dynamic functional connectivity during rest J Gonzalez-Castillo, C Caballero-Gaudes, N Topolski, DA Handwerker, ... NeuroImage 202, 116129, 2019	43	2019
Concise, intelligible, and approximate profiling of multiple classes RE Valdes-Perez, F Pereira, V Pericliev International Journal of Human-Computer Studies 53 (3), 411-436, 2000	40	2000
Knowing what you know in brain segmentation using Bayesian deep neural networks P McClure, N Rho, JA Lee, JR Kaczmarzyk, CY Zheng, SS Ghosh, ... Frontiers in Neuroinformatics 13, 2019	38	2019
Exploring predictive and reproducible modeling with the single‐subject FIAC dataset X Chen, F Pereira, W Lee, S Strother, T Mitchell Human brain mapping 27 (5), 452-461, 2006	38	2006

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