The cognitive atlas: toward a knowledge foundation for cognitive neuroscience
Open accessAbstract
Cognitive neuroscience aims to map mental processes onto brain function, which begs the question of what "mental processes" exist and how they relate to the tasks that are used to manipulate and measure them. This topic has been addressed informally in prior work, but we propose that cumulative progress in cognitive neuroscience requires a more systematic approach to representing the mental entities that are being mapped to brain function and the tasks used to manipulate and measure mental processes. We describe a new open collaborative project that aims to provide a knowledge base for cognitive neuroscience, called the Cognitive Atlas (accessible online at http://www.cognitiveatlas.org), and outline how this project has the potential to drive novel discoveries about both mind and brain.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The N-back task is often used as a measure of cognitive control, a complex construct with dissociable sub-components that likely rely on overlapping but distinct neural architectures.
“The N-back task is often used as a measure of cognitive control, which itself is a complex construct composed of dissociable sub-components, such as updating, set-shifting and response inhibition (Miyake et al., 2000), that likely rely on overlapping, yet distinct, neural architectures (Duncan, 2010; Poldrack et al., 2011).”
From The Dynamics of Functional Brain Networks: Integrated Network States during Cognitive Task Performance (2016) · cites this paper as Poldrack et al., 2011
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Gene Ontology: tool for the unification of biology
Ashburner, M., Ball, C. A., Blake, J. A., Botstein, D., Butler, H., Cherry, J. M., Davis, A. P., Dolinski, K., Dwight, S. S., Eppig, J. T., et al. (2000) · Nature Genetics · doi:10.1038/75556 · Cited by 43,206 · see citing works
A translation approach to portable ontology specifications
Gruber, T. (1993) · Knowledge Acquisition · doi:10.1006/knac.1993.1008 · Cited by 13,568 · see citing works
Baddeley, A. D., & Hitch, G. (1974) · Psychology of Learning and Motivation · doi:10.1016/s0079-7421(08)60452-1 · Cited by 9,860 · see citing works
Berners‐Lee, T., Hendler, J., & Lassila, O. (2001) · Scientific American · doi:10.1038/scientificamerican0501-34 · Cited by 9,362 · see citing works
Insel, T., Cuthbert, B., Garvey, M., Heinssen, R., Pine, D. S., Quinn, K., Sanislow, C., & Wang, P. (2010) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2010.09091379 · Cited by 7,067 · see citing works
Baddeley, A. (1992) · Science · doi:10.1126/science.1736359 · Cited by 5,258 · see citing works
Large-scale automated synthesis of human functional neuroimaging data.
Yarkoni, T., Poldrack, R. A., Nichols, T. E., Van Essen, D. C., & Wager, T. D. (2011) · Nature Methods · doi:10.1038/nmeth.1635 · Cited by 3,686 · see citing works
Self-citationThe discovery of processing stages: Extensions of Donders' method
Sternberg, S. (1969) · Acta Psychologica · doi:10.1016/0001-6918(69)90055-9 · Cited by 3,137 · see citing works
An Integrated Theory of the Mind.
Anderson, J. R., Bothell, D., Byrne, M. D., Douglass, S., Lebiere, C. J., & Qin, Y. (2004) · Psychological Review · doi:10.1037/0033-295x.111.4.1036 · Cited by 3,048 · see citing works
Cellular basis of working memory
Goldman-Rakic, P. S. (1995) · Neuron · doi:10.1016/0896-6273(95)90304-6 · Cited by 2,663 · see citing works
SOAR: An Architecture for General Intelligence
Laird, J. E., Newell, A., & Rosenbloom, P. S. (1987) · Artificial Intelligence · doi:10.1016/0004-3702(87)90050-6 · Cited by 2,535 · see citing works
Can cognitive processes be inferred from neuroimaging data?
POLDRACK, R. (2006) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2005.12.004 · Cited by 2,230 · see citing works
Self-citationCohen, J. D., Dunbar, K. N., & McClelland, J. L. (1990) · Psychological Review · doi:10.1037/0033-295x.97.3.332 · Cited by 2,128 · see citing works
Hippocampus, space, and memory
Olton, D. S., Becker, J. T., & Handelmann, G. E. (1979) · Behavioral and Brain Sciences · doi:10.1017/s0140525x00062713 · Cited by 2,018 · see citing works
Internet encyclopaedias go head to head
Giles, J. (2005) · Nature · doi:10.1038/438900a · Cited by 1,978 · see citing works
A History of Experimental Psychology
Ruckmick, C. A., & Boring, E. G. (1930) · The American Journal of Psychology · doi:10.2307/1414897 · Cited by 1,814 · see citing works
Relations in biomedical ontologies
Smith, B., Ceusters, W. M., Klagges, B. R. E., Köhler, J., Kumar, A., Lomax, J., Mungall, C., Neuhaus, F., Rector, A. L., & Rosse, C. (2005) · Genome biology · doi:10.1186/gb-2005-6-5-r46 · Cited by 1,030 · see citing works
Working memory, attention control, and the N-back task: a question of construct validity
Kane, M. J., Conway, A. R. A., Miura, T. K., & Colflesh, G. J. H. (2007) · Journal of Experimental Psychology: Learning, Memory, and Cognition · doi:10.1037/0278-7393.33.3.615 · Cited by 933 · cited 1× · see citing works
“Similarly, while the N -back task is often referred to as the “N -back working memory task,” serious questions have been raised regarding whether it truly measures the construct of “working memory” (Kane et al., 2007).”
BackgroundThe Remembered Present; A Biological Theory of Consciousness.
Berger, G., & Edelman, G. M. (1994) · Noûs · doi:10.2307/2216056 · Cited by 688 · see citing works
SKOS Simple Knowledge Organization System Reference
Miles, A., & Bechhofer, S. (2009) · Research Explorer (The University of Manchester) · Cited by 681 · see citing works
Harnessing the wisdom of crowds in wikipedia
Kittur, A., & Kraut, R. E. (2008) · ACM Conference on Computer Supported Cooperative Work (CSCW) · doi:10.1145/1460563.1460572 · Cited by 680 · see citing works
Self-citationTextpresso: An Ontology-Based Information Retrieval and Extraction System for Biological Literature
Müller, H.-M., Kenny, E. E., & Sternberg, P. W. (2004) · PLoS Biology · doi:10.1371/journal.pbio.0020309 · Cited by 653 · see citing works
Kittur, A., Suh, B., Pendleton, B. A., & Ed, H. (2007) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/1240624.1240698 · Cited by 575 · see citing works
Self-citationA history of experimental psychology, 2nd ed.
Boring, E. G. (1950) · Cited by 488 · see citing works
Laird, A., Lancaster, J., & Fox, P. (2007) · Neuroinformatics · doi:10.1385/ni:3:1:065 · Cited by 379 · see citing works
Ontologies in biology: design, applications and future challenges
Bard, J., & Rhee, S. Y. (2004) · Nature Reviews Genetics · doi:10.1038/nrg1295 · Cited by 352 · see citing works
The Remembered Present: A Biological Theory of Consciousness
Verschure, P. F. M. J., & Edelman, G. M. (1992) · The American Journal of Psychology · doi:10.2307/1423200 · Cited by 327 · see citing works
Decentralization in wikipedia governance.
Forte, A., Larco, V., & Bruckman, A. (2009) · Journal of Management Information Systems · doi:10.2753/mis0742-1222260103 · Cited by 300 · see citing works
Functional ontologies for cognition: The systematic definition of structure and function
Price, C. J., & Friston, K. J. (2004) · Cognitive Neuropsychology · doi:10.1080/02643290442000095 · Cited by 277 · see citing works
Decoding the Large-Scale Structure of Brain Function by Classifying Mental States Across Individuals
Poldrack, R. A., Halchenko, Y. O., & Hanson, S. J. (2009) · Psychological Science · doi:10.1111/j.1467-9280.2009.02460.x · Cited by 237 · see citing works
Self-citationThe Remembered Present: A Biological Theory of Consciousness
Stafford, C. (1990) · JAMA · doi:10.1001/jama.1990.03450130130045 · Cited by 236 · see citing works
Soar: An Architecture for General Intelligence
Laird, J. E., Newell, A., & Rosenbloom, P. S. (1987) · doi:10.21236/ada205407 · Cited by 219 · see citing works
DSM categories and dimensions in clinical and research contexts
KRAEMER, H. C. (2007) · International Journal of Methods in Psychiatric Research · doi:10.1002/mpr.211 · Cited by 195 · see citing works
Towards an Ontology of Cognitive Control
Lenartowicz, A., Kalar, D. J., Congdon, E. L., & Poldrack, R. A. (2010) · Topics in Cognitive Science · doi:10.1111/j.1756-8765.2010.01100.x · Cited by 177 · see citing works
Self-citationCategory learning and the memory systems debate
Poldrack, R. A., & Foerde, K. (2007) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2007.07.007 · Cited by 169 · see citing works
Self-citationCiTO, the Citation Typing Ontology
Shotton, D. M. (2010) · Journal of Biomedical Semantics · doi:10.1186/2041-1480-1-s1-s6 · Cited by 161 · see citing works
The Cognitive Paradigm Ontology: Design and Application
Turner, J. A., & Laird, A. R. (2011) · Neuroinformatics · doi:10.1007/s12021-011-9126-x · Cited by 156 · see citing works
e-Neuroscience: challenges and triumphs in integrating distributed data from molecules to brains
Martone, M. E., Gupta, A., & Ellisman, M. H. (2004) · Nature Neuroscience · doi:10.1038/nn1229 · Cited by 122 · see citing works
Gene ontology: tool for the unification of biology. The Gene Ontology Consortium.
Ashburner, M., Ball, C. A., Blake, J., Botstein, D., Davis, A. P., Eppig, J. T., Harris, M. A., Hill, D. P., Richardson, J., Ringwald, M., et al. (2000) · The Mouseion at the JAXlibrary (Jackson Laboratory) · Cited by 114 · see citing works
Cognitive ontologies for neuropsychiatric phenomics research
Bilder, R. M., Sabb, F. W., Parker, D. S., Kalar, D. J., Chu, W. W., Fox, J., Freimer, N. B., & Poldrack, R. A. (2009) · Cognitive Neuropsychiatry · doi:10.1080/13546800902787180 · Cited by 109 · see citing works
Self-citationHarnessing the Wisdom of Crowds in Wikipedia: Quality through Coordination
Kittur, A., & Kraut, R. E. (2018) · Figshare · doi:10.1184/r1/6470099 · Cited by 81 · see citing works
Self-citationA collaborative knowledge base for cognitive phenomics
Sabb, F. W., Bearden, C. E., Glahn, D. C., Parker, D. S., Freimer, N. B., & Bilder, R. M. (2008) · Molecular Psychiatry · doi:10.1038/sj.mp.4002124 · Cited by 76 · see citing works
Self-citationDonohoe, G. J., Corvin, A. P., & Robertson, I. H. (2006) · Cognitive Neuropsychiatry · doi:10.1080/13546800444000155 · Cited by 63 · see citing works
Bowden, D. M., & Dubach, M. F. (2003) · Neuroinformatics · doi:10.1385/ni:1:1:043 · Cited by 59 · see citing works
GS2: an efficiently computable measure of GO-based similarity of gene sets
Ruths, T., Ruths, D. A., & Nakhleh, L. K. (2009) · Bioinformatics · doi:10.1093/bioinformatics/btp128 · Cited by 49 · see citing works
Smith, A. A., Greenbaum, D. S., Douglas, S. M., Long, M., & Gerstein, M. (2005) · Genome biology · doi:10.1186/gb-2005-6-9-119 · Cited by 25 · see citing works
Researchers break the rules in frustration at review boards
Giles, J. (2005) · Nature · doi:10.1038/438136b · Cited by 17 · see citing works
Miller, E., Seppa, C., Kittur, A., Sabb, F. W., & Poldrack, R. A. (2010) · Nature Precedings · doi:10.1038/npre.2010.4532.1 · Cited by 10 · see citing works
Self-citationMiller, E., Miller, E., Seppa, C., Kittur, A., Sabb, F. W., & Poldrack, R. A. (2010) · Nature Precedings · doi:10.1038/npre.2010.4532 · Cited by 7 · see citing works
Self-citation
Flagged first, then by citations
Cited by
Sorted by citations
Machine learning for neuroimaging with scikit-learn
Abraham, A., Pedregosa, F., Eickenberg, M., Gervais, P., Mueller, A., Kossaifi, J., Gramfort, A., Thirion, B., & Varoquaux, G. P. (2014) · Frontiers in Neuroinformatics · doi:10.3389/fninf.2014.00014 · Cited by 2,435 · see citing works
Gorgolewski, K. J., Auer, T., Calhoun, V. D., Craddock, R. C., Das, S., Duff, E. P., Flandin, G., Ghosh, S. S., Glatard, T., Halchenko, Y. O., et al. (2016) · Scientific Data · doi:10.1038/sdata.2016.44 · Cited by 1,775 · see citing works
Self-citationShine, J. M., Bissett, P. G., Bell, P. T., Koyejo, O., Balsters, J. H., Gorgolewski, K. J., Moodie, C. A., & Poldrack, R. A. (2016) · Neuron · doi:10.1016/j.neuron.2016.09.018 · Cited by 886 · see citing works
Self-citationInferring mental states from neuroimaging data: from reverse inference to large-scale decoding
Poldrack, R. A. (2011) · Neuron · doi:10.1016/j.neuron.2011.11.001 · Cited by 821 · see citing works
Self-citationHansen, J. Y., Shafiei, G., Markello, R. D., Smart, K., Cox, S. M. L., Nørgaard, M., Beliveau, V., Wu, Y., Gallezot, J.-D., Aumont, É., et al. (2022) · Nature Neuroscience · doi:10.1038/s41593-022-01186-3 · Cited by 797 · see citing works
On testing for spatial correspondence between maps of human brain structure and function
Alexander‐Bloch, A. F., Shou, H., Liu, S., Satterthwaite, T. D., Glahn, D. C., Shinohara, R. T., Vandekar, S., & Raznahan, A. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.05.070 · Cited by 733 · see citing works
Functional boundaries in the human cerebellum revealed by a multi-domain task battery
King, M., Hernandez-Castillo, C. R., Poldrack, R. A., Ivry, R. B., & Diedrichsen, J. (2019) · Nature Neuroscience · doi:10.1038/s41593-019-0436-x · Cited by 673 · see citing works
Self-citationCognitive and behavioural flexibility: Neural mechanisms and clinical considerations
Uddin, L. Q. (2021) · Nature Reviews Neuroscience · doi:10.1038/s41583-021-00428-w · Cited by 698 · see citing works
Towards a universal taxonomy of macro-scale functional human brain networks
Uddin, L. Q., Yeo, B. T. T., & Spreng, R. N. (2019) · Brain Topography · doi:10.1007/s10548-019-00744-6 · Cited by 683 · see citing works
Gorgolewski, K. J., Varoquaux, G. P., Rivera, G., Schwarz, Y., Ghosh, S., Maumet, C., Sochat, V., Nichols, T. E., Poldrack, R. A., Poline, J., et al. (2015) · Frontiers in Neuroinformatics · doi:10.3389/fninf.2015.00008 · Cited by 554 · see citing works
Self-citationConsumer Neuroscience: Applications, Challenges, and Possible Solutions
Plaßmann, H., Venkatraman, V., Huettel, S. A., & Yoon, C. (2015) · Journal of Marketing Research · doi:10.1509/jmr.14.0048 · Cited by 517 · see citing works
Psychopathology and the Human Connectome: Toward a Transdiagnostic Model of Risk For Mental Illness
Buckholtz, J. W., & Meyer‐Lindenberg, A. (2012) · Neuron · doi:10.1016/j.neuron.2012.06.002 · Cited by 433 · see citing works
Making big data open: data sharing in neuroimaging
Poldrack, R. A., & Gorgolewski, K. J. (2014) · Nature Neuroscience · doi:10.1038/nn.3818 · Cited by 412 · see citing works
Self-citationDeficient approaches to human neuroimaging
Stelzer, J., Lohmann, G., Mueller, K., Buschmann, T., & Turner, R. (2014) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2014.00462 · Cited by 413 · see citing works
Deconstructing and reconstructing theory of mind
Schaafsma, S. M., Pfaff, D. W., Spunt, R. P., & Adolphs, R. (2015) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2014.11.007 · Cited by 498 · see citing works
The OpenNeuro resource for sharing of neuroscience data
Markiewicz, C. J., Gorgolewski, K. J., Feingold, F. W., Blair, R. W., Halchenko, Y. O., Miller, E., Hardcastle, N., Wexler, J., Estéban, O., Goncalves, M., et al. (2021) · eLife · doi:10.7554/elife.71774 · Cited by 410 · see citing works
Self-citationLarge-scale functional neural network correlates of response inhibition: an fMRI meta-analysis
Zhang, R., Geng, X., & Lee, T. M. C. (2017) · Brain Structure and Function · doi:10.1007/s00429-017-1443-x · Cited by 398 · see citing works
From Brain Maps to Cognitive Ontologies: Informatics and the Search for Mental Structure
Poldrack, R. A., & Yarkoni, T. (2015) · Annual Review of Psychology · doi:10.1146/annurev-psych-122414-033729 · Cited by 358 · see citing works
Self-citationToward open sharing of task-based fMRI data: the OpenfMRI project
Poldrack, R. A., Barch, D. M., Mitchell, J. P., Wager, T. D., Wagner, A. D., Devlin, J. T., Cumba, C., Koyejo, S., & Milham, M. P. (2013) · Frontiers in Neuroinformatics · doi:10.3389/fninf.2013.00012 · Cited by 341 · see citing works
Self-citationComparing spatial null models for brain maps
Markello, R. D., & Mišić, B. (2021) · NeuroImage · doi:10.1016/j.neuroimage.2021.118052 · Cited by 343 · see citing works
The language network as a natural kind within the broader landscape of the human brain
Fedorenko, E. G., Ivanova, A. A., & Regev, T. I. (2024) · Nature reviews. Neuroscience · doi:10.1038/s41583-024-00802-4 · Cited by 327 · see citing works
Large-Scale Meta-Analysis of Human Medial Frontal Cortex Reveals Tripartite Functional Organization
de la Vega, A. I., Chang, L. J., Banich, M. T., Wager, T. D., & Yarkoni, T. (2016) · Journal of Neuroscience · doi:10.1523/jneurosci.4402-15.2016 · Cited by 288 · see citing works
Kragel, P. A., Kano, M., Van Oudenhove, L., Ly, H. G., Dupont, P., Rubio, A., Delon-Martin, C., Bonaz, B. L., Manuck, S. B., Gianaros, P. J., et al. (2018) · Nature Neuroscience · doi:10.1038/s41593-017-0051-7 · Cited by 272 · see citing works
Characterizing variation in the functional connectome: promise and pitfalls
Kelly, C. A. M., Biswal, B. B., Craddock, R. C., Castellanos, F. X., & Milham, M. P. (2012) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2012.02.001 · Cited by 257 · see citing works
Mapping gene transcription and neurocognition across human neocortex
Hansen, J. Y., Markello, R. D., Vogel, J. W., Seidlitz, J., Bzdok, D., & Mišić, B. (2021) · Nature Human Behaviour · doi:10.1038/s41562-021-01082-z · Cited by 203 · see citing works
Banishing the Control Homunculi in Studies of Action Control and Behavior Change
Verbruggen, F., McLaren, I. P. L., & Chambers, C. D. (2014) · Perspectives on Psychological Science · doi:10.1177/1745691614526414 · Cited by 214 · see citing works
The future of fMRI in cognitive neuroscience
Poldrack, R. A. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.08.007 · Cited by 189 · see citing works
Self-citationDescribing functional diversity of brain regions and brain networks
Anderson, M. L., Kinnison, J., & Pessoa, L. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.01.071 · Cited by 182 · see citing works
Topographic organization of the cerebral cortex and brain cartography
Eickhoff, S. B., Constable, R. T., & Yeo, B. T. T. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.02.018 · Cited by 178 · see citing works
Developing theory-driven design research
Cash, P. J. (2018) · Design Studies · doi:10.1016/j.destud.2018.03.002 · Cited by 186 · see citing works
Optical imaging and spectroscopy for the study of the human brain: status report
Ayaz, H., Baker, W. B., Blaney, G. P., Boas, D. A., Bortfeld, H., Brady, K. M., Brake, J., Brigadoi, S., Buckley, E. M., Carp, S. A., et al. (2022) · Neurophotonics · doi:10.1117/1.nph.9.s2.s24001 · Cited by 174 · see citing works
The Cognitive Paradigm Ontology: Design and Application
Turner, J. A., & Laird, A. R. (2011) · Neuroinformatics · doi:10.1007/s12021-011-9126-x · Cited by 156 · see citing works
Topographic gradients of intrinsic dynamics across neocortex
Shafiei, G., Markello, R. D., de Wael, R. V., Bernhardt, B. C., Fulcher, B., & Mišić, B. (2020) · eLife · doi:10.7554/elife.62116 · Cited by 145 · see citing works
Discovering Relations Between Mind, Brain, and Mental Disorders Using Topic Mapping
Poldrack, R. A., Mumford, J. A., Schönberg, T., Kalar, D. J., Barman, B., & Yarkoni, T. (2012) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1002707 · Cited by 147 · see citing works
Self-citationNeuropsychological tests of the future: How do we get there from here?
Bilder, R. M., & Reise, S. P. (2018) · The Clinical Neuropsychologist · doi:10.1080/13854046.2018.1521993 · Cited by 145 · see citing works
Self-citationIndividual Brain Charting, a high-resolution fMRI dataset for cognitive mapping
Pinho, A. L., Amadon, A., Ruest, T., Fabre, M., Dohmatob, E., Denghien, I., Ginisty, C., Becuwe-Desmidt, S., Roger, S., Laurier, L., et al. (2018) · Scientific Data · doi:10.1038/sdata.2018.105 · Cited by 146 · see citing works
Rubin, T. N., Koyejo, S., Gorgolewski, K. J., Jones, M. N., Poldrack, R. A., & Yarkoni, T. (2017) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1005649 · Cited by 133 · see citing works
Self-citationHay, L., Duffy, A. H. B., McTeague, C. P., Pidgeon, L. M., Vuletic, T., & Grealy, M. (2017) · Design Science · doi:10.1017/dsj.2017.11 · Cited by 138 · see citing works
A scoping review of ontologies related to human behaviour change
Norris, E., Finnerty, A. N., Hastings, J., Stokes, G., & Michie, S. (2019) · Nature Human Behaviour · doi:10.1038/s41562-018-0511-4 · Cited by 123 · see citing works
Binney, R. J., & Ramsey, R. (2020) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2020.01.030 · Cited by 113 · see citing works
Yarkoni, T. (2012) · Current Directions in Psychological Science · doi:10.1177/0963721412457362 · Cited by 111 · see citing works
Northoff, G., & Tumati, S. (2019) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2019.06.030 · Cited by 111 · see citing works
An evaluation of neurocognitive models of theory of mind
Schurz, M., & Perner, J. (2015) · Frontiers in Psychology · doi:10.3389/fpsyg.2015.01610 · Cited by 101 · see citing works
Open and reproducible neuroimaging: From study inception to publication
Niso, G., Botvinik‐Nezer, R., Appelhoff, S., de la Vega, A. I., Estéban, O., Etzel, J. A., Finc, K., Ganz, M., Gau, R., Halchenko, Y. O., et al. (2022) · NeuroImage · doi:10.1016/j.neuroimage.2022.119623 · Cited by 104 · see citing works
Differentiated parietal connectivity of frontal regions for “what” and “where” memory
Rottschy, C., Caspers, S., Roski, C., Reetz, K., Dogan, I., Schulz, J. B., Zilles, K., Laird, A. R., Fox, P. T., & Eickhoff, S. B. (2012) · Brain Structure and Function · doi:10.1007/s00429-012-0476-4 · Cited by 95 · see citing works
Progress toward openness, transparency, and reproducibility in cognitive neuroscience
Gilmore, R. O., Diaz, M. T., Wyble, B. A., & Yarkoni, T. (2017) · Annals of the New York Academy of Sciences · doi:10.1111/nyas.13325 · Cited by 95 · see citing works
Gorgolewski, K. J., Varoquaux, G. P., Rivera, G., Schwartz, Y., Sochat, V., Ghosh, S., Maumet, C., Nichols, T. E., Poline, J., Yarkoni, T., et al. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.04.016 · Cited by 85 · see citing works
Self-citationWatch and Learn: The Cognitive Neuroscience of Learning from Others’ Actions
Ramsey, R., Kaplan, D. M., & Cross, E. S. (2021) · Trends in Neurosciences · doi:10.1016/j.tins.2021.01.007 · Cited by 83 · see citing works
The future of design cognition analysis
Hay, L., Cash, P. J., & McKilligan, S. (2020) · Design Science · doi:10.1017/dsj.2020.20 · Cited by 83 · see citing works
Hansen, J. Y., Shafiei, G., Markello, R. D., Smart, K. A., Cox, S. M. L., Nørgaard, M., Beliveau, V., Wu, Y., Gallezot, J., Aumont, É., et al. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.10.28.466336 · Cited by 81 · see citing works
Stice, E. M., & Yokum, S. (2016) · Journal of Neuroscience · doi:10.1523/jneurosci.4365-15.2016 · Cited by 80 · see citing works
The cognitive impact of light: illuminating ipRGC circuit mechanisms
Mahoney, H. L., & Schmidt, T. M. (2024) · Nature reviews. Neuroscience · doi:10.1038/s41583-023-00788-5 · Cited by 81 · see citing works
Integrating brainstem and cortical functional architectures
Hansen, J. Y., Cauzzo, S., Singh, K., García‐Gomar, M. G., Shine, J. M., Bianciardi, M., & Mišić, B. (2024) · Nature Neuroscience · doi:10.1038/s41593-024-01787-0 · Cited by 83 · see citing works
Atlases of cognition with large-scale human brain mapping
Varoquaux, G. P., Schwartz, Y., Poldrack, R. A., Gauthier, B., Bzdok, D., Poline, J., & Thirion, B. (2018) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1006565 · Cited by 72 · see citing works
Self-citationSharing brain mapping statistical results with the neuroimaging data model
Maumet, C., Auer, T., Bowring, A., Chen, G., Das, S., Flandin, G., Ghosh, S. S., Glatard, T., Gorgolewski, K. J., Helmer, K., et al. (2016) · Scientific Data · doi:10.1038/sdata.2016.102 · Cited by 98 · see citing works
Predictive models avoid excessive reductionism in cognitive neuroimaging
Varoquaux, G. P., & Poldrack, R. A. (2018) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2018.11.002 · Cited by 63 · see citing works
Self-citationThe Experiment Factory: Standardizing Behavioral Experiments
Sochat, V., Eisenberg, I. W., Enkavi, A. Z., Li, J. K., Bissett, P. G., & Poldrack, R. A. (2016) · Frontiers in Psychology · doi:10.3389/fpsyg.2016.00610 · Cited by 65 · see citing works
Self-citationApplying novel technologies and methods to inform the ontology of self-regulation
Eisenberg, I. W., Bissett, P. G., Canning, J. R., Dallery, J., Enkavi, A. Z., Whitfield-Gabrieli, S., Gonzalez, O., Green, A. I., Greene, M. A., Kiernan, M., et al. (2018) · Behaviour Research and Therapy · doi:10.1016/j.brat.2017.09.014 · Cited by 61 · see citing works
Self-citationTowards a shared ontology: A generic classification of cognitive processes in conceptual design
Hay, L., Duffy, A. H. B., McTeague, C. P., Pidgeon, L. M., Vuletic, T., & Grealy, M. (2017) · Design Science · doi:10.1017/dsj.2017.6 · Cited by 61 · see citing works
A data-driven framework for mapping domains of human neurobiology
Beam, E., Potts, C., Poldrack, R. A., & Etkin, A. (2021) · Nature Neuroscience · doi:10.1038/s41593-021-00948-9 · Cited by 56 · see citing works
Self-citationSenden, M., Reuter, N., van den Heuvel, M. P., Goebel, R., & Deco, G. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.10.044 · Cited by 58 · see citing works
Blagec, K., Barbosa-Silva, A., Ott, S., & Matthias Samwald, A. (2022) · Scientific Data · doi:10.1038/s41597-022-01435-x · Cited by 57 · see citing works
Coordinated pluralism as a means to facilitate integrative taxonomies of cognition
Sullivan, J. A. (2017) · Philosophical Explorations · doi:10.1080/13869795.2017.1312497 · Cited by 56 · see citing works
Multiscale communication in cortico-cortical networks
Bazinet, V., de Wael, R. V., Hagmann, P., Bernhardt, B. C., & Mišić, B. (2021) · NeuroImage · doi:10.1016/j.neuroimage.2021.118546 · Cited by 53 · see citing works
Jiang, Y., Palaniyappan, L. K., Luo, C., Chang, X., Zhang, J., Tang, Y., Zhang, T., Li, C., Zhou, E., Yu, X., et al. (2024) · Science Advances · doi:10.1126/sciadv.adk6063 · Cited by 51 · see citing works
Norris, E., Finnerty, A. N., Hastings, J., Stokes, G., & Michie, S. (2018) · doi:10.31234/osf.io/y7dus · Cited by 51 · see citing works
Consumer neuroscience on branding and packaging: A review and future research agenda
Rodríguez, V. J. C., Antonovica, A., & Martín, D. L. S. (2023) · International Journal of Consumer Studies · doi:10.1111/ijcs.12936 · Cited by 56 · see citing works
Luppi, A. I., Singleton, S. P., Hansen, J. Y., Jamison, K. W., Bzdok, D., Kuceyeski, A. F., Betzel, R. F., & Mišić, B. (2024) · Nature Biomedical Engineering · doi:10.1038/s41551-024-01242-2 · Cited by 56 · see citing works
NiMARE: Neuroimaging Meta-Analysis Research Environment
Salo, T., Yarkoni, T., Nichols, T. E., Poline, J., Bilgel, M., Bottenhorn, K. L., Eickhoff, S. B., Jarecka, D., Kent, J. D., Kimbler, A., et al. (2023) · Aperture Neuro · doi:10.52294/001c.87681 · Cited by 49 · see citing works
Clinical Psychological Science
Wright, A. G. C., & Hallquist, M. N. (2020) · Cambridge University Press eBooks · doi:10.1017/9781316995808.001 · Cited by 47 · see citing works
Assortative mixing in micro-architecturally annotated brain connectomes
Bazinet, V., Hansen, J. Y., de Wael, R. V., Bernhardt, B. C., van den Heuvel, M. P., & Mišić, B. (2023) · Nature Communications · doi:10.1038/s41467-023-38585-4 · Cited by 41 · see citing works
A framework for constructing cognition ontologies using WordNet, FrameNet, and SUMO
Reed, S. K., & Pease, A. (2014) · Cognitive Systems Research · doi:10.1016/j.cogsys.2014.06.001 · Cited by 41 · see citing works
Liloia, D., Zamfira, D. A., Tanaka, M., Manuello, J., Crocetta, A., Keller, R., Cozzolino, M., Duca, S., Cauda, F., & Costa, T. (2024) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2024.105791 · Cited by 44 · see citing works
Hay, L., Duffy, A. H. B., Gilbert, S. J., & Grealy, M. (2021) · Design Studies · doi:10.1016/j.destud.2021.101078 · Cited by 44 · see citing works
Pinho, A. L., Amadon, A., Gauthier, B., Clairis, N., Knops, A., Genon, S., Dohmatob, E., Torre, J. J., Ginisty, C., Becuwe-Desmidt, S., et al. (2020) · Scientific Data · doi:10.1038/s41597-020-00670-4 · Cited by 41 · see citing works
Large-scale Meta-analysis Suggests Low Regional Modularity in Lateral Frontal Cortex
de la Vega, A. I., Yarkoni, T., Wager, T. D., & Banich, M. T. (2017) · Cerebral Cortex · doi:10.1093/cercor/bhx204 · Cited by 40 · see citing works
The search for the neural correlate of consciousness: Progress and challenges
Lepauvre, A., & Melloni, L. (2021) · Philosophy and the Mind Sciences · doi:10.33735/phimisci.2021.87 · Cited by 38 · see citing works
Cognitive ontology and the search for neural mechanisms: Three foundational problems
Francken, J. C., Slors, M., & Craver, C. F. (2022) · Synthese · doi:10.1007/s11229-022-03701-2 · Cited by 39 · see citing works
A Functional Atlas of the Cerebellum Based on NeuroSynth Task Coordinates
Overwalle, F. V., Ma, Q., Haihambo, N. P., Bylemans, T., Catoira, B., Firouzi, M., Li, M., Pu, M., Heleven, E., Baeken, C., et al. (2023) · The Cerebellum · doi:10.1007/s12311-023-01596-4 · Cited by 40 · see citing works
Automated cognome construction and semi-automated hypothesis generation
Voytek, J. B., & Voytek, B. (2012) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2012.04.019 · Cited by 38 · see citing works
Reyna, V. F., & Huettel, S. A. (2014) · American Psychological Association eBooks · doi:10.1037/14322-002 · Cited by 39 · see citing works
Hippocampal Contributions to Language Use and Processing
Duff, M. C., & Brown‐Schmidt, S. (2017) · Springer eBooks · doi:10.1007/978-3-319-50406-3_16 · Cited by 38 · see citing works
Human brain anatomy reflects separable genetic and environmental components of socioeconomic status
Kweon, H., Aydogan, G., Dagher, A., Bzdok, D., Ruff, C. C., Nave, G., Farah, M. J., & Koellinger, P. D. (2022) · Science Advances · doi:10.1126/sciadv.abm2923 · Cited by 36 · see citing works
Sydnor, V. J., Bagautdinova, J., Larsen, B., Arcaro, M. J., Barch, D. M., Bassett, D. S., Alexander‐Bloch, A. F., Cook, P. A., Covitz, S. C., Franco, A. R., et al. (2025) · Nature Neuroscience · doi:10.1038/s41593-025-01991-6 · Cited by 55 · see citing works
Multilevel models from biology to psychology: Mission impossible?
Bilder, R. M., Howe, A. G., & Sabb, F. W. (2013) · Journal of Abnormal Psychology · doi:10.1037/a0032263 · Cited by 36 · see citing works
Self-citationFrom commonsense to science, and back: the use of cognitive concepts in neuroscience
Francken, J. C., & Slors, M. (2014) · Consciousness and Cognition · doi:10.1016/j.concog.2014.08.019 · Cited by 36 · see citing works
Hastings, J., Frishkoff, G. A., Smith, B., Jensen, M., Poldrack, R. A., Lomax, J., Bandrowski, A. E., Imam, F. T., Turner, J. A., & Martone, M. E. (2014) · Frontiers in Neuroinformatics · doi:10.3389/fninf.2014.00062 · Cited by 36 · see citing works
Self-citationBeining, M., Mongiat, L. A., Schwarzacher, S. W., Cuntz, H., & Jedlička, P. (2017) · eLife · doi:10.7554/elife.26517 · Cited by 35 · see citing works
Grotzinger, A. D., Mallard, T. T., Liu, Z., Seidlitz, J., Ge, T., & Smoller, J. W. (2023) · Nature Communications · doi:10.1038/s41467-023-36605-x · Cited by 34 · see citing works
A cognitive neurogenetic approach to uncovering the structure of executive functions
Feng, J., Zhang, L., Chen, C., Sheng, J., Ye, Z., Feng, K., Liu, J., Cai, Y., Zhu, B., Yu, Z., et al. (2022) · Nature Communications · doi:10.1038/s41467-022-32383-0 · Cited by 36 · see citing works
Norris, E., Hastings, J., Marques, M., Mutlu, A. N. F., Zink, S., & Michie, S. (2020) · Journal of Biomedical Semantics · doi:10.1186/s13326-021-00240-6 · Cited by 28 · see citing works
Mitochondrial function-associated genes underlie cortical atrophy in prodromal synucleinopathies
Rahayel, S., Tremblay, C., Vo, A., Mišić, B., Lehéricy, S., Arnulf, I., Vidailhet, M., Corvol, J.-C., the ICEBERG Study Group, Vidailhet, M., et al. (2023) · Brain · doi:10.1093/brain/awad044 · Cited by 33 · see citing works
The Neural Basis of Risky Choice with Affective Outcomes
Suter, R., Pachur, T., Hertwig, R., Endestad, T., & Biele, G. (2015) · PLoS ONE · doi:10.1371/journal.pone.0122475 · Cited by 31 · see citing works
A seed-based cross-modal comparison of brain connectivity measures
Reid, A., Hoffstaedter, F., Gong, G., Laird, A. R., Fox, P. T., Evans, A. C., Amunts, K., & Eickhoff, S. B. (2016) · Brain Structure and Function · doi:10.1007/s00429-016-1264-3 · Cited by 31 · see citing works
Automated meta-analysis of the event-related potential (ERP) literature
Donoghue, T., & Voytek, B. (2022) · Scientific Reports · doi:10.1038/s41598-022-05939-9 · Cited by 31 · see citing works
Neuroscience and everyday life: Facing the translation problem
Francken, J. C., & Slors, M. (2017) · Brain and Cognition · doi:10.1016/j.bandc.2017.09.004 · Cited by 33 · see citing works
Searching for the Big Pictures
Reed, S. K. (2020) · Perspectives on Psychological Science · doi:10.1177/1745691619896255 · Cited by 31 · see citing works
Meta-Analysis of Functional Roles of DICCCOLs
Yuan, Y., Jiang, X., Zhu, D., Chen, H., Li, K., Lv, P., Yu, X., Li, X., Zhang, S., Zhang, T., et al. (2012) · Neuroinformatics · doi:10.1007/s12021-012-9165-y · Cited by 31 · see citing works
Neural architecture underlying classification of face perception paradigms
Laird, A. R., Riedel, M. C., Sutherland, M. T., Eickhoff, S. B., Ray, K. L., Uecker, A. M., Fox, P. M., Turner, J. A., & Fox, P. T. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.06.044 · Cited by 31 · see citing works
Multimodal connectivity mapping of the human left anterior and posterior lateral prefrontal cortex
Reid, A., Bzdok, D., Langner, R., Fox, P. T., Laird, A. R., Amunts, K., Eickhoff, S. B., & Eickhoff, C. R. (2015) · Brain Structure and Function · doi:10.1007/s00429-015-1060-5 · Cited by 31 · see citing works
- Authors
- Poldrack, R. A., Kittur, A., Kalar, D., Miller, E., Seppa, C., Gil, Y., Parker, D. S., Sabb, F. W., & Bilder, R. M.
- Affiliations
- The University of Texas at Austin (US)
- Carnegie Mellon University (US)
- Ames Research Center (US)
- University of Southern California (US)
- University of California, Los Angeles (US)
- Corresponding author
- Poldrack, Russell A.
- ORCID
- Venue
- Frontiers in Neuroinformatics
- Publisher
- Frontiers Media SA
- Published
- 2011
- Volume
- 5
- Pages
- 17-17
- ISSN
- 1662-5196 (ISSN-L)
- PMC
- PMC3167196
- OpenAlex
- W1974687978
- Cited by
- 385
- References
- 46
- Citations by year
- 2026: 33 · 2025: 51 · 2024: 26 · 2023: 32 · 2022: 47 · 2021: 28 · 2020: 24 · 2019: 15 · 2018: 16 · 2017: 29 · 2016: 19 · 2015: 19 · 2014: 17 · 2013: 12 · 2012: 13
- FWCI
- 13.16
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- cc-by
- Locations
- Frontiers in Neuroinformatics (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- eScholarship (California Digital Library) (submittedVersion)
- Funders
- National Institutes of Health
- National Institute of Mental Health (PL1MH083271, R01MH082795)
- National Institute of Dental and Craniofacial Research (UL1DE019580)
- U.S. National Library of Medicine (RL1LM009833)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Cognitive Computing and Networks
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Keywords
- knowledge base, cognitive neuroscience, cognitive processes, functional brain mapping, cognitive tasks, knowledge representation, neuroinformatics
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review