The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Spatiotemporal Pattern of Neural Processing in the Human Auditory Cortex
Abstract
The principles that the auditory cortex uses to decipher a stream of acoustic information have remained elusive. Neural responses in the animal auditory cortex can be broadly classified into transient and sustained activity. We examined the existence of similar principles in the human brain. Sound-evoked, blood oxygen level–dependent signal response was decomposed temporally into independent transient and sustained constituents, which predominated in different portions—core and belt—of the auditory cortex. Converging with unit recordings, our data suggest that this spatiotemporal pattern in the auditory cortex may represent a fundamental principle of analyzing sound information.
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Cites
An Information-Maximization Approach to Blind Separation and Blind Deconvolution
Bell, A. J., & Sejnowski, T. J. (1995) · Neural Computation · doi:10.1162/neco.1995.7.6.1129 · Cited by 8,986
Dynamic Brain Sources of Visual Evoked Responses
Makeig, S., Westerfield, M., Jung, T.-P., Enghoff, S., Townsend, J., Courchesne, E., & Sejnowski, T. J. (2002) · Science · doi:10.1126/science.1066168 · Cited by 1,630
Representation of the temporal envelope of sounds in the human brain
Giraud, A.-L., Lorenzi, C., Ashburner, J., Wable, J., Johnsrude, I., Frackowiak, R., & Kleinschmidt, A. (2000) · Journal of Neurophysiology · doi:10.1152/jn.2000.84.3.1588 · Cited by 353
Cited by
A Baseline for the Multivariate Comparison of Resting-State Networks
Allen, E. A., Erhardt, E. B., Damaraju, E., Gruner, W., Segall, J. M., Silva, R. F., Havlicek, M., Rachakonda, S., Fries, J., Kalyanam, R., et al. (2011) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2011.00002 · Cited by 1,293
Integration of Auditory and Visual Information about Objects in Superior Temporal Sulcus
Beauchamp, M. S., Lee, K. E., Argall, B. D., & Martin, A. (2004) · Neuron · doi:10.1016/s0896-6273(04)00070-4 · Cited by 773
Independent component analysis of functional MRI: what is signal and what is noise?
McKeown, M. J., Hansen, L. K., & Sejnowsk, T. J. (2003) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2003.09.012 · Cited by 414
Seifritz, E., Esposito, F., Neuhoff, J. G., Lüthi, A., Mustovic, H., Dammann, G., von Bardeleben, U., Radue, E. W., Cirillo, S., Tedeschi, G., et al. (2003) · Biological Psychiatry · doi:10.1016/s0006-3223(03)00697-8 · Cited by 373
Self-citationIndependent component analysis of fMRI group studies by self-organizing clustering
Esposito, F., Scarabino, T., Hyvarinen, A., Himberg, J., Formisano, E., Comani, S., Tedeschi, G., Goebel, R., Seifritz, E., & Di Salle, F. (2005) · NeuroImage · doi:10.1016/j.neuroimage.2004.10.042 · Cited by 364
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Metadata
- Authors
- Seifritz, E., Esposito, F., Hennel, F., Mustovic, H., Neuhoff, J. G., Bilecen, D., Tedeschi, G., Scheffler, K., & Di Salle, F.
- Venue
- Science
- Published
- 2002-09-06
- Volume
- 297
- Issue
- 5587
- Pages
- 1706-1708
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- OpenAlex
- W2066007662
- Cited by
- 213
- References
- 3
- FWCI
- 8.39
- Type
- journal article
- Language
- en
- Open access
- closed
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