The DOI matches its Crossref record; 15 of the 15 references it cites were found in a registry or an index.
Functional Interactions as Big Data in the Human Brain
Open accessAbstract
Noninvasive studies of human brain function hold great potential to unlock mysteries of the human mind. The complexity of data generated by such studies, however, has prompted various simplifying assumptions during analysis. Although this has enabled considerable progress, our current understanding is partly contingent upon these assumptions. An emerging approach embraces the complexity, accounting for the fact that neural representations are widely distributed, neural processes involve interactions between regions, interactions vary by cognitive state, and the space of interactions is massive. Because what you see depends on how you look, such unbiased approaches provide the greatest flexibility for discovery.
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Cites
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Self-citationDecoding reveals the contents of visual working memory in early visual areas
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Cited by
Communication dynamics in complex brain networks
Avena-Koenigsberger, A., Misic, B., & Sporns, O. (2018) · Nature Reviews Neuroscience · doi:10.1038/nrn.2017.149 · Cited by 856
Dynamic reconfiguration of the default mode network during narrative comprehension
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Cognitive Network Neuroscience
Medaglia, J. D., Lynall, M.-E., & Bassett, D. S. (2015) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_00810 · Cited by 419
Stress and adolescence: vulnerability and opportunity during a sensitive window of development
Sisk, L. M., & Gee, D. G. (2022) · Current Opinion in Psychology · doi:10.1016/j.copsyc.2021.10.005 · Cited by 374
Closed-loop training of attention with real-time brain imaging
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Self-citation
Metadata
- Authors
- Turk-Browne, N. B.
- Venue
- Science
- Published
- 2013-11
- Volume
- 342
- Issue
- 6158
- Pages
- 580-584
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- OpenAlex
- W2095649984
- Cited by
- 204
- References
- 15
- FWCI
- 11.28
- Type
- journal article
- Language
- en
- Open access
- green
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
