The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Cortical Representation of Natural Complex Sounds: Effects of Acoustic Features and Auditory Object Category
Open accessAbstract
How the brain processes complex sounds, like voices or musical instrument sounds, is currently not well understood. The features comprising the acoustic profiles of such sounds are thought to be represented by neurons responding to increasing degrees of complexity throughout auditory cortex, with complete auditory “objects” encoded by neurons (or small networks of neurons) in anterior superior temporal regions. Although specialized voice and speech–sound regions have been proposed, it is unclear how other types of complex natural sounds are processed within this object-processing pathway. Using functional magnetic resonance imaging, we sought to demonstrate spatially distinct patterns of category-selective activity in human auditory cortex, independent of semantic content and low-level acoustic features. Category-selective responses were identified in anterior superior temporal regions, consisting of clusters selective for musical instrument sounds and for human speech. An additional subregion was identified that was particularly selective for the acoustic–phonetic content of speech. In contrast, regions along the superior temporal plane closer to primary auditory cortex were not selective for stimulus category, responding instead to specific acoustic features embedded in natural sounds, such as spectral structure and temporal modulation. Our results support a hierarchical organization of the anteroventral auditory-processing stream, with the most anterior regions representing the complete acoustic signature of auditory objects.
Overview
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
Verification
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.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
The cortical organization of speech processing
Hickok, G., & Poeppel, D. (2007) · Nature Reviews Neuroscience · doi:10.1038/nrn2113 · Cited by 5,495
Forman, S. D., Cohen, J. D., Fitzgerald, M., Eddy, W. F., Mintun, M. A., & Noll, D. C. (1995) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910330508 · Cited by 3,202
Repetition and the brain: neural models of stimulus-specific effects
Grill-Spector, K., Henson, R., & Martin, A. (2006) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2005.11.006 · Cited by 2,256
Who “Is Saying What”? Brain-based decoding of human voice and speech
Formisano, E., De Martino, F., Bonte, M., & Goebel, R. (2008) · Science · doi:10.1126/science.1164318 · Cited by 599
Cited by
Price, C. J. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.04.062 · Cited by 2,159
The cortical language circuit: from auditory perception to sentence comprehension
Friederici, A. D. (2012) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2012.04.001 · Cited by 748
Kell, A. J. E., Yamins, D. L. K., Shook, E. N., Norman-Haignere, S. V., & McDermott, J. H. (2018) · Neuron · doi:10.1016/j.neuron.2018.03.044 · Cited by 544
Toward a brain-based componential semantic representation
Binder, J. R., Conant, L. L., Humphries, C. J., Fernandino, L., Simons, S. B., Aguilar, M., & Desai, R. H. (2016) · Cognitive Neuropsychology · doi:10.1080/02643294.2016.1147426 · Cited by 367
Understanding Voice Perception
Belin, P., Bestelmeyer, P. E. G., Latinus, M., & Watson, R. (2011) · British Journal of Psychology · doi:10.1111/j.2044-8295.2011.02041.x · Cited by 342
Metadata
- Authors
- Leaver, A. M., & Rauschecker, J. P.
- Venue
- The Journal of Neuroscience
- Publisher
- Society for Neuroscience
- Published
- 2010-06-02
- Volume
- 30
- Issue
- 22
- Pages
- 7604-7612
- ISSN
- 0270-6474 (ISSN-L)
- 1529-2401
- OpenAlex
- W2076923487
- Cited by
- 376
- References
- 4
- FWCI
- 12.67
- Type
- journal article
- Language
- en
- Open access
- hybrid
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Cortical Representation of Natural Complex Sounds: Effects of Acoustic Features and Auditory Object Category. https://app.cochat.ai/papers/10.1523/jneurosci.0296-10.2010
- The paper
- Leaver, A. M., & Rauschecker, J. P. (2010). Cortical Representation of Natural Complex Sounds: Effects of Acoustic Features and Auditory Object Category. The Journal of Neuroscience. https://doi.org/10.1523/jneurosci.0296-10.2010
Data sources
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.