The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
Mechanisms and streams for processing of “what” and “where” in auditory cortex
Open accessAbstract
The functional specialization and hierarchical organization of multiple areas in rhesus monkey auditory cortex were examined with various types of complex sounds. Neurons in the lateral belt areas of the superior temporal gyrus were tuned to the best center frequency and bandwidth of band-passed noise bursts. They were also selective for the rate and direction of linear frequency modulated sweeps. Many neurons showed a preference for a limited number of species-specific vocalizations (“monkey calls”). These response selectivities can be explained by nonlinear spectral and temporal integration mechanisms. In a separate series of experiments, monkey calls were presented at different spatial locations, and the tuning of lateral belt neurons to monkey calls and spatial location was determined. Of the three belt areas the anterolateral area shows the highest degree of specificity for monkey calls, whereas neurons in the caudolateral area display the greatest spatial selectivity. We conclude that the cortical auditory system of primates is divided into at least two processing streams, a spatial stream that originates in the caudal part of the superior temporal gyrus and projects to the parietal cortex, and a pattern or object stream originating in the more anterior portions of the lateral belt. A similar division of labor can be seen in human auditory cortex by using functional neuroimaging.
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Cites
Receptive fields, binocular interaction and functional architecture in the cat’s visual cortex
Hubel, D. H., & Wiesel, T. N. (1962) · The Journal of Physiology · doi:10.1113/jphysiol.1962.sp006837 · Cited by 13,680
Perception of the speech code.
Liberman, A. M., Cooper, F. S., Shankweiler, D. P., & Studdert-Kennedy, M. (1967) · Psychological Review · doi:10.1037/h0020279 · Cited by 3,722
Object vision and spatial vision: Two cortical pathways
Mishkin, M., Ungerleider, L. G., & Macko, K. A. (1983) · Trends in Neurosciences · doi:10.1016/0166-2236(83)90190-x · Cited by 2,947
‘What’ and ‘where’ in the human brain
Ungerleider, L. G., & Haxby, J. V. (1994) · Current Opinion in Neurobiology · doi:10.1016/0959-4388(94)90066-3 · Cited by 1,913
SPACE AND ATTENTION IN PARIETAL CORTEX
Colby, C. L., & Goldberg, M. E. (1999) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.22.1.319 · Cited by 1,710
Lateralization of phonetic and pitch discrimination in speech processing
Zatorre, R. J., Evans, A. C., Meyer, E., & Gjedde, A. (1992) · Science · doi:10.1126/science.256.5058.846 · Cited by 1,507
Andersen, R. A., Snyder, L. H., Bradley, D. C., & Xing, J. (1997) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.20.1.303 · Cited by 1,486
The posterior thalamic region and its cortical projection in new world and old world monkeys
Burton, H., & Jones, E. G. (1976) · Journal of Comparative Neurology · doi:10.1002/cne.901680204 · Cited by 555
Cited by
Andrews‐Hanna, J. R., Smallwood, J., & Spreng, R. N. (2014) · Annals of the New York Academy of Sciences · doi:10.1111/nyas.12360 · Cited by 2,102
The neurobiology of semantic memory
Binder, J. R., & Desai, R. H. (2011) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2011.10.001 · Cited by 2,114
Maps and streams in the auditory cortex: nonhuman primates illuminate human speech processing
Rauschecker, J. P., & Scott, S. K. (2009) · Nature Neuroscience · doi:10.1038/nn.2331 · Cited by 1,766
Self-citationMakris, N., Kennedy, D. N., McInerney, S., Sorensen, A. G., Wang, R., Caviness, V. S., & Pandya, D. N. (2005) · Cerebral Cortex · doi:10.1093/cercor/bhh186 · Cited by 1,146
Schmahmann, J. D., & Pandya, D. N. (2006) · doi:10.1093/acprof:oso/9780195104233.001.0001 · Cited by 1,157
Metadata
- Authors
- Rauschecker, J. P., & Tian, B.
- Venue
- Proceedings of the National Academy of Sciences
- Published
- 2000-10-24
- Volume
- 97
- Issue
- 22
- Pages
- 11800-11806
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W2156194815
- Cited by
- 1,397
- References
- 8
- FWCI
- 20.16
- Type
- journal article
- Language
- en
- Open access
- green
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