The DOI matches its Crossref record; 54 of the 54 references it cites were found in a registry or an index.
Top-down control of the phase of alpha-band oscillations as a mechanism for temporal prediction
Open accessAbstract
Significance: In contrast to canonical, stimulus-driven models of perception, recent proposals argue that perceptual experiences are constructed in an active manner in which top-down influences play a key role. In particular, predictions that the brain makes about the world are incorporated into each perceptual experience. Because forming the appropriate sensory predictions can have a large impact on our visual experiences and visually guided behaviors, a mechanism thought to be disrupted in certain neurological conditions like autism and schizophrenia, an understanding of the neural basis of these predictions is critical. Here, we provide evidence that perceptual expectations about when a stimulus will appear are instantiated in the brain by optimally configuring prestimulus alpha-band oscillations so as to make subsequent processing most efficacious.
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Delorme, A., & Makeig, S. (2004) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2003.10.009 · Cited by 24,371
A Direct Approach to False Discovery Rates
Storey, J. D. (2002) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/1467-9868.00346 · Cited by 5,603
PsychoPy—Psychophysics software in Python
Peirce, J. W. (2007) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2006.11.017 · Cited by 4,603
Shaping Functional Architecture by Oscillatory Alpha Activity: Gating by Inhibition
Jensen, O., & Mazaheri, A. (2010) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2010.00186 · Cited by 3,237
CircStat : A MATLAB Toolbox for Circular Statistics
Berens, P. (2009) · Journal of Statistical Software · doi:10.18637/jss.v031.i10 · Cited by 3,099
Statistical Analysis of Circular Data.
Lange, N., & Fisher, N. I. (1995) · Journal of the American Statistical Association · doi:10.2307/2291098 · Cited by 2,146
Statistical Analysis of Circular Data
Fisher, N. I. (1993) · Cambridge University Press eBooks · doi:10.1017/cbo9780511564345 · Cited by 1,670
Foxe, J. J., & Snyder, A. C. (2011) · Frontiers in Psychology · doi:10.3389/fpsyg.2011.00154 · Cited by 1,558
Coull, J. T., & Nobre, A. C. (1998) · The Journal of Neuroscience · doi:10.1523/jneurosci.18-18-07426.1998 · Cited by 1,269
Worden, M. S., Foxe, J. J., Wang, N., & Simpson, G. V. (2000) · The Journal of Neuroscience · doi:10.1523/jneurosci.20-06-j0002.2000 · Cited by 1,268
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Self-citationBrain Networks and α-Oscillations: Structural and Functional Foundations of Cognitive Control
Sadaghiani, S., & Kleinschmidt, A. (2016) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2016.09.004 · Cited by 437
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Metadata
- Authors
- Samaha, J., Bauer, P., Cimaroli, S., & Postle, B. R.
- Venue
- Proceedings of the National Academy of Sciences
- Published
- 2015-06-22
- Volume
- 112
- Issue
- 27
- Pages
- 8439-8444
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W823634764
- Cited by
- 265
- References
- 54
- FWCI
- 13.83
- Type
- journal article
- Language
- en
- Open access
- green
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