The DOI matches its Crossref record; 129 of the 129 references it cites were found in a registry or an index.
Proactive Sensing of Periodic and Aperiodic Auditory Patterns
Open accessAbstract
The ability to predict when something will happen facilitates sensory processing and the ensuing computations. Building on the observation that neural activity entrains to periodic stimulation, leading neurophysiological models imply that temporal predictions rely on oscillatory entrainment. Although they provide a sufficient solution to predict periodic regularities, these models are challenged by a series of findings that question their suitability to account for temporal predictions based on aperiodic regularities. Aiming for a more comprehensive model of how the brain anticipates 'when' in auditory contexts, we emphasize the capacity of motor and higher-order top-down systems to prepare sensory processing in a proactive and temporally flexible manner. Focusing on speech processing, we illustrate how this framework leads to new hypotheses.
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Hoehl, S., Fairhurst, M., & Schirmer, A. (2021) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsaa024 · Cited by 231
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Proix, T., Delgado Saa, J., Christen, A., Martin, S., Pasley, B. N., Knight, R. T., Tian, X., Poeppel, D., Doyle, W. K., Devinsky, O., et al. (2022) · Nature Communications · doi:10.1038/s41467-021-27725-3 · Cited by 212
Self-citationPando‐Naude, V., Matthews, T. E., Højlund, A., Jakobsen, S., Østergaard, K., Johnsen, E., Garza‐Villarreal, E. A., Witek, M. A. G., Penhune, V., & Vuust, P. (2024) · European Journal of Neuroscience · doi:10.1111/ejn.16128 · Cited by 29
Metadata
- Authors
- Rimmele, J. M., Morillon, B., Poeppel, D., & Arnal, L. H.
- Venue
- Trends in Cognitive Sciences
- Publisher
- Elsevier BV
- Published
- 2018-10
- Volume
- 22
- Issue
- 10
- Pages
- 870-882
- ISSN
- 1364-6613 (ISSN-L)
- OpenAlex
- W2894443551
- Cited by
- 267
- References
- 129
- FWCI
- 3.43
- Type
- journal article
- Language
- en
- Open access
- green
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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.
