John Dylan Haynes
Affiliations: | Bernstein Center for Computational Neuroscience, Berlin, Berlin, Germany |
Area:
psychophysics & fmri; visual cognitionWebsite:
http://www.bccn-berlin.de/People/haynesGoogle:
"John Haynes"Mean distance: 12.74 (cluster 29) | S | N | B | C | P |
Cross-listing: PsychTree
Children
Sign in to add trainee| Daniel Birman | research assistant | 2012-2013 | |
| Stefan Bode | grad student | ||
| Ida Momennejad | grad student | Bernstein Center for Computational Neuroscience | |
| Soyoung Q. Park | grad student | German Institute of Human Nutrition | |
| Kai Görgen | grad student | 2007- | BCCN Berlin |
| Vincent Ka Ming Cheung | grad student | 2016- | Bernstein Center for Computational Neuroscience (BCCN) Berlin |
| Radoslaw M. Cichy | grad student | 2007-2011 | Bernstein Center for Computational Neuroscience Berlin |
| Thorsten Kahnt | grad student | 2007-2011 | Bernstein Center for Computational Neuroscience (BCCN) Berlin |
| Thomas B. Christophel | grad student | 2008-2012 | Bernstein Center for Computational Neuroscience (BCCN) Berlin |
| Martin N. Hebart | grad student | 2008-2012 | Bernstein Center for Computational Neuroscience (BCCN) Berlin |
| Fatma Deniz | grad student | 2008-2013 | |
| Joram Soch | grad student | 2014-2017 | Bernstein Center for Computational Neuroscience (BCCN) Berlin |
| Jakob Heinzle | post-doc | 2007- | BCCN Berlin |
| Carsten Allefeld | research scientist | 2009- | BCCN Berlin |
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Publications
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| Hansen N, Singh A, Bartels C, et al. (2021) Hippocampal and Hippocampal-Subfield Volumes From Early-Onset Major Depression and Bipolar Disorder to Cognitive Decline. Frontiers in Aging Neuroscience. 13: 626974 |
| Amaefule CO, Dyrba M, Wolfsgruber S, et al. (2020) Association between composite scores of domain-specific cognitive functions and regional patterns of atrophy and functional connectivity in the Alzheimer's disease spectrum. Neuroimage. Clinical. 29: 102533 |
| Meyer-Arndt L, Hetzer S, Asseyer S, et al. (2020) Blunted neural and psychological stress processing predicts future grey matter atrophy in multiple sclerosis. Neurobiology of Stress. 13: 100244 |
| Anders S, Verrel J, Haynes JD, et al. (2020) Pseudo-hyperscanning shows common neural activity during face-to-face communication of affect to be associated with shared affective feelings but not with mere emotion recognition. Cortex; a Journal Devoted to the Study of the Nervous System and Behavior. 131: 210-220 |
| Gayet S, Guggenmos M, Christophel TB, et al. (2020) No evidence for mnemonic modulation of interocularly suppressed visual input. Neuroimage. 116801 |
| Schultze-Kraft M, Parés-Pujolràs E, Matić K, et al. (2020) Preparation and execution of voluntary action both contribute to awareness of intention. Proceedings. Biological Sciences. 287: 20192928 |
| Soch J, Allefeld C, Haynes JD. (2019) Inverse transformed encoding models - A solution to the problem of correlated trial-by-trial parameter estimates in fMRI decoding. Neuroimage. 116449 |
| Cheung VKM, Harrison PMC, Meyer L, et al. (2019) Uncertainty and Surprise Jointly Predict Musical Pleasure and Amygdala, Hippocampus, and Auditory Cortex Activity. Current Biology : Cb |
| 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 |
| Eitel F, Soehler E, Bellmann-Strobl J, et al. (2019) Uncovering convolutional neural network decisions for diagnosing multiple sclerosis on conventional MRI using layer-wise relevance propagation. Neuroimage. Clinical. 24: 102003 |