The DOI matches its Crossref record; 347 of the 347 references it cites were found in a registry or an index.
The language network as a natural kind within the broader landscape of the human brain
Open accessAbstract
Language behaviour is complex, but neuroscientific evidence disentangles it into distinct components supported by dedicated brain areas or networks. In this Review, we describe the ‘core’ language network, which includes left-hemisphere frontal and temporal areas, and show that it is strongly interconnected, independent of input and output modalities, causally important for language and language-selective. We discuss evidence that this language network plausibly stores language knowledge and supports core linguistic computations related to accessing words and constructions from memory and combining them to interpret (decode) or generate (encode) linguistic messages. We emphasize that the language network works closely with, but is distinct from, both lower-level — perceptual and motor — mechanisms and higher-level systems of knowledge and reasoning. The perceptual and motor mechanisms process linguistic signals, but, in contrast to the language network, are sensitive only to these signals’ surface properties, not their meanings; the systems of knowledge and reasoning (such as the system that supports social reasoning) are sometimes engaged during language use but are not language-selective. This Review lays a foundation both for in-depth investigations of these different components of the language processing pipeline and for probing inter-component interactions. Many brain areas support complex language processing behaviours. In this Review, Fedorenko et al. disentangle the ‘core’ language system as functionally distinct from the perceptual and motor brain areas and knowledge and reasoning systems it closely interacts with during language comprehension and production.
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Cited by
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Fedorenko, E., Piantadosi, S. T., & Gibson, E. A. F. (2024) · Nature · doi:10.1038/s41586-024-07522-w · Cited by 190
Self-citationUniversality of representation in biological and artificial neural networks
Hosseini, E., Casto, C., Zaslavsky, N., Conwell, C., Richardson, M., & Fedorenko, E. (2024) · doi:10.1101/2024.12.26.629294 · Cited by 10
Self-citationDistinct Cellular Phenotypes of Language and Executive Decline in Amyotrophic Lateral Sclerosis
Petrescu, J., Gouveia Roque, C., Jackson, C. A., Daly, A. C., Butti, Z., Kang, K., Casel, O., Leung, M., Reilly, L., Eschbach, J., et al. (2026) · Cell · doi:10.1016/j.cell.2026.07.008 · Cited by 4
Evidence from formal logical reasoning reveals that the language of thought is not natural language
Kean, H., Fung, A., Jaggers, P., Chen, J., Rule, J. S., Benn, Y., Tenenbaum, J. B., Piantadosi, S. T., Varley, R. A., & Fedorenko, E. (2026) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2520095123 · Cited by 2
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Metadata
- Authors
- Fedorenko, E., Ivanova, A. A., & Regev, T. I.
- Venue
- Nature Reviews Neuroscience
- Published
- 2024-04-12
- Volume
- 25
- Issue
- 5
- Pages
- 289-312
- ISSN
- 1471-003X (ISSN-L)
- 1471-0048
- OpenAlex
- W4394752750
- Cited by
- 293
- References
- 347
- FWCI
- 21.71
- Type
- journal article
- Language
- en
- Open access
- green
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