The DOI matches its Crossref record; 106 of the 106 references it cites were found in a registry or an index.
Neural Entrainment and Attentional Selection in the Listening Brain
Open accessAbstract
The streams of sounds we typically attend to abound in acoustic regularities. Neural entrainment is seen as an important mechanism that the listening brain exploits to attune to these regularities and to enhance the representation of attended sounds. We delineate the neurophysiology underlying this mechanism and review entrainment alongside its more pragmatic signature, often called 'speech tracking'. The latter has become a popular analytical approach to trace the reflection of acoustic and linguistic information at different levels of granularity, from neurophysiology to neuroimaging. As we discuss, the concept of entrainment offers both a putative neurophysiological mechanism for selective listening and a versatile window onto the neural basis of hearing and speech comprehension.
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Cites
Synchronization a universal concept in nonlinear sciences
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Cortical oscillations and speech processing: emerging computational principles and operations
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Maps and streams in the auditory cortex: nonhuman primates illuminate human speech processing
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Entrainment of Neuronal Oscillations as a Mechanism of Attentional Selection
Lakatos, P., Karmos, G., Mehta, A. D., Ulbert, I., & Schroeder, C. E. (2008) · Science · doi:10.1126/science.1154735 · Cited by 1,719
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Interactional synchrony: signals, mechanisms and benefits
Hoehl, S., Fairhurst, M., & Schirmer, A. (2021) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsaa024 · Cited by 231
“Yet, reviewing this literature is challenging as different investigators focused on different frequency bands and phase measures (e.g. Myers et al., 2014; Escoffier et al., 2015; Zoefel and VanRullen, 2016; Breska and Deouell, 2017; Herbst and Obleser, 2019).”
BackgroundAntunes, F. M., & Malmierca, M. S. (2021) · Frontiers in Neural Circuits · doi:10.3389/fncir.2021.721186 · Cited by 71
Temporally resolved neural dynamics underlying handwriting
Pei, L., Longcamp, M., Leung, F. K.-S., & Ouyang, G. (2021) · NeuroImage · doi:10.1016/j.neuroimage.2021.118578 · Cited by 23
Metadata
- Authors
- Obleser, J., & Kayser, C.
- Venue
- Trends in Cognitive Sciences
- Publisher
- Elsevier BV
- Published
- 2019-11
- Volume
- 23
- Issue
- 11
- Pages
- 913-926
- ISSN
- 1364-6613 (ISSN-L)
- OpenAlex
- W2980177172
- Cited by
- 432
- References
- 106
- FWCI
- 6.69
- Type
- journal article
- Language
- en
- Open access
- bronze
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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.
