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The Cognitive Atlas: Toward a Knowledge Foundation for Cognitive Neuroscience
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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.
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“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
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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
A translation approach to portable ontology specifications
Gruber, T. (1993) · Knowledge Acquisition · doi:10.1006/knac.1993.1008 · Cited by 13,568
Baddeley, A. D., & Hitch, G. (1974) · Psychology of Learning and Motivation · doi:10.1016/s0079-7421(08)60452-1 · Cited by 9,860
Berners‐Lee, T., Hendler, J., & Lassila, O. (2001) · Scientific American · doi:10.1038/scientificamerican0501-34 · Cited by 9,605
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
Baddeley, A. (1992) · Science · doi:10.1126/science.1736359 · Cited by 5,258
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
Self-citationAn 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 3,153
The 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
Cellular basis of working memory
Goldman-Rakic, P. S. (1995) · Neuron · doi:10.1016/0896-6273(95)90304-6 · Cited by 2,663
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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
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
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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. N., & Raznahan, A. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.05.070 · Cited by 947
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Uddin, L. Q., Yeo, B. T. T., & Spreng, R. N. (2019) · Brain Topography · doi:10.1007/s10548-019-00744-6 · Cited by 683
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
Self-citationGorgolewski, 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
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Verbruggen, F., McLaren, I. P. L., & Chambers, C. D. (2014) · Perspectives on Psychological Science · doi:10.1177/1745691614526414 · Cited by 214
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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 158
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 136
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 141
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 125
Binney, R. J., & Ramsey, R. (2020) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2020.01.030 · Cited by 113
Yarkoni, T. (2012) · Current Directions in Psychological Science · doi:10.1177/0963721412457362 · Cited by 111
Northoff, G., & Tumati, S. (2019) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2019.06.030 · Cited by 111
An evaluation of neurocognitive models of theory of mind
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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 98
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Stice, E. M., & Yokum, S. (2016) · Journal of Neuroscience · doi:10.1523/jneurosci.4365-15.2016 · Cited by 80
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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 53
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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 61
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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 48
Hay, L., Duffy, A. H. B., Gilbert, S. J., & Grealy, M. (2021) · Design Studies · doi:10.1016/j.destud.2021.101078 · Cited by 44
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 45
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Cognitive ontology and the search for neural mechanisms: Three foundational problems
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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
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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 57
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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
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Francken, J. C., & Slors, M. (2014) · Consciousness and Cognition · doi:10.1016/j.concog.2014.08.019 · Cited by 36
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
Self-citationBeining, M., Mongiat, L. A., Schwarzacher, S. W., Cuntz, H., & Jedlička, P. (2017) · eLife · doi:10.7554/elife.26517 · Cited by 36
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 35
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Metadata
- 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
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