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John Dylan Haynes

Affiliations: 
Bernstein Center for Computational Neuroscience, Berlin, Berlin, Germany 
Area:
psychophysics & fmri; visual cognition
Website:
http://www.bccn-berlin.de/People/haynes
Google:
"John Haynes"
Mean distance: 12.74 (cluster 29)
 
SNBCP
Cross-listing: PsychTree

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Publications

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Maurer L, Mai K, Krude H, et al. (2019) Interaction of circulating GLP-1 and the response of the dorsolateral prefrontal cortex to food-cues predicts body weight development. Molecular Metabolism. 29: 136-144
Weygandt M, Spranger J, Leupelt V, et al. (2018) Interactions between neural decision-making circuits predict long-term dietary treatment success in obesity. Neuroimage. 184: 520-534
Bogler C, Vowinkel A, Zhutovsky P, et al. (2017) Default Network Activity Is Associated with Better Performance in a Vigilance Task. Frontiers in Human Neuroscience. 11: 623
Görgen K, Hebart MN, Allefeld C, et al. (2017) The same analysis approach: Practical protection against the pitfalls of novel neuroimaging analysis methods. Neuroimage
Soch J, Meyer AP, Haynes JD, et al. (2017) How to improve parameter estimates in GLM-based fMRI data analysis: Cross-validated Bayesian model averaging. Neuroimage
Scheibner HJ, Bogler C, Gleich T, et al. (2017) Internal and external attention and the default mode network. Neuroimage. 148: 381-389
Christophel TB, Klink PC, Spitzer B, et al. (2017) The Distributed Nature of Working Memory. Trends in Cognitive Sciences
Soch J, Haynes JD, Allefeld C. (2016) How to avoid mismodelling in GLM-based fMRI data analysis: Cross-validated Bayesian model selection. Neuroimage
Allefeld C, Görgen K, Haynes JD. (2016) Valid population inference for information-based imaging: From the second-level t-test to prevalence inference. Neuroimage
Baggio G, Cherubini P, Pischedda D, et al. (2016) Multiple neural representations of elementary logical connectives. Neuroimage
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