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Carsten Allefeld, M.A., Dr. rer. nat. - Publications

Affiliations: 
BCCN Berlin, Berlin, Berlin, Germany 
Area:
data analysis methods
Website:
http://www.carsten-allefeld.de
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39/53 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2019 Soch J, Allefeld C, Haynes JD. Inverse transformed encoding models - A solution to the problem of correlated trial-by-trial parameter estimates in fMRI decoding. Neuroimage. 116449. PMID 31866165 DOI: 10.1016/J.Neuroimage.2019.116449  0.774
2019 Christophel TB, Yan C, Allefeld C, Haynes J. Neural encoding models of color working memory reveal categorical representations in sensory cortex Journal of Vision. 19: 91b. DOI: 10.1167/19.10.91B  0.611
2018 Soch J, Allefeld C. MACS - a new SPM toolbox for model assessment, comparison and selection. Journal of Neuroscience Methods. PMID 29842901 DOI: 10.1016/J.Jneumeth.2018.05.017  0.715
2018 Christophel TB, Iamshchinina P, Yan C, Allefeld C, Haynes JD. Cortical specialization for attended versus unattended working memory. Nature Neuroscience. PMID 29507410 DOI: 10.1038/S41593-018-0094-4  0.594
2017 Görgen K, Hebart MN, Allefeld C, Haynes JD. The same analysis approach: Practical protection against the pitfalls of novel neuroimaging analysis methods. Neuroimage. PMID 29288130 DOI: 10.1016/J.Neuroimage.2017.12.083  0.642
2017 Soch J, Meyer AP, Haynes JD, Allefeld C. How to improve parameter estimates in GLM-based fMRI data analysis: Cross-validated Bayesian model averaging. Neuroimage. PMID 28669903 DOI: 10.1016/J.Neuroimage.2017.06.056  0.785
2017 Christophel TB, Allefeld C, Endisch C, Haynes JD. View-Independent Working Memory Representations of Artificial Shapes in Prefrontal and Posterior Regions of the Human Brain. Cerebral Cortex (New York, N.Y. : 1991). 1-16. PMID 28505235 DOI: 10.1093/Cercor/Bhx119  0.631
2017 Soch J, Meyer AP, Haynes J, Allefeld C. Cross-validated Bayesian model averaging: how to improve parameter estimates in GLM-based fMRI data analysis F1000research. 6. DOI: 10.7490/F1000Research.1114774.1  0.771
2017 Soch J, Allefeld C, Haynes J. The Overfitting Toolbox (TOT): large-scale search in model space for expected neuroimaging effects F1000research. 6. DOI: 10.7490/F1000Research.1114773.1  0.736
2017 Allefeld C, Haynes J, Rosenblatt J. A permutation-like exact test for fMRI timeseries using orthogonal transformations F1000research. 6. DOI: 10.7490/F1000Research.1114381.1  0.592
2017 Ramírez F, Allefeld C, Haynes J. Representational confusion: the possible consequence of demeaning your data Journal of Vision. 17: 270. DOI: 10.1167/17.10.270  0.619
2016 Soch J, Haynes JD, Allefeld C. How to avoid mismodelling in GLM-based fMRI data analysis: Cross-validated Bayesian model selection. Neuroimage. PMID 27477536 DOI: 10.1016/J.Neuroimage.2016.07.047  0.79
2016 Allefeld C, Görgen K, Haynes JD. Valid population inference for information-based imaging: From the second-level t-test to prevalence inference. Neuroimage. PMID 27450073 DOI: 10.1016/J.Neuroimage.2016.07.040  0.622
2016 Soch J, Allefeld C, Haynes J. Bayesian model selection for first-level GLMs prefers physiological over psychological fMRI models F1000research. 5. DOI: 10.7490/F1000Research.1113336.1  0.763
2016 Soch J, Allefeld C, Haynes J. Empirical hemodynamic response functions improve first-level GLMs for fMRI data analysis F1000research. 5. DOI: 10.7490/F1000Research.1113335.1  0.754
2016 Goergen K, Hebart MN, Allefeld C, Haynes J. Detecting, avoiding & eliminating confounds in MVPA/decoding studies F1000research. 5. DOI: 10.7490/F1000Research.1111808.1  0.57
2015 Ritter K, Schumacher J, Weygandt M, Buchert R, Allefeld C, Haynes JD. Multimodal prediction of conversion to Alzheimer's disease based on incomplete biomarkers. Alzheimer's & Dementia (Amsterdam, Netherlands). 1: 206-15. PMID 27239505 DOI: 10.1016/J.Dadm.2015.01.006  0.586
2015 Schultze-Kraft M, Birman D, Rusconi M, Allefeld C, Görgen K, Dähne S, Blankertz B, Haynes JD. The point of no return in vetoing self-initiated movements. Proceedings of the National Academy of Sciences of the United States of America. PMID 26668390 DOI: 10.1073/Pnas.1513569112  0.585
2015 Weygandt M, Hummel HM, Schregel K, Ritter K, Allefeld C, Dommes E, Huppke P, Haynes JD, Wuerfel J, Gärtner J. MRI-based diagnostic biomarkers for early onset pediatric multiple sclerosis. Neuroimage. Clinical. 7: 400-8. PMID 25685704 DOI: 10.1016/J.Nicl.2014.06.015  0.607
2015 Soch J, Allefeld C, Haynes J. Solving the problem of overfitting in neuroimaging? Cross-validated Bayesian model selection for methodological control in fMRI data analysis F1000research. 4. DOI: 10.7490/F1000Research.1000161.1  0.769
2015 Kuhlen AK, Allefeld C, Anders S, Haynes JD. Towards a multi-brain perspective on communication in dialogue Cognitive Neuroscience of Natural Language Use. 182-200. DOI: 10.1017/CBO9781107323667.009  0.55
2015 Ritter K, Schumacher J, Weygandt M, Buchert R, Allefeld C, Haynes JD. Multimodal prediction of conversion to Alzheimer's disease based onincomplete biomarkers Alzheimer's and Dementia: Diagnosis, Assessment and Disease Monitoring. 1: 206-215. DOI: 10.1016/j.dadm.2015.01.006  0.541
2014 Ramírez FM, Cichy RM, Allefeld C, Haynes JD. The neural code for face orientation in the human fusiform face area. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 34: 12155-67. PMID 25186759 DOI: 10.1523/Jneurosci.3156-13.2014  0.62
2014 Soon CS, Allefeld C, Bogler C, Heinzle J, Haynes JD. Predictive brain signals best predict upcoming and not previous choices. Frontiers in Psychology. 5: 406. PMID 24847303 DOI: 10.3389/Fpsyg.2014.00406  0.646
2014 Allefeld C, Haynes JD. Searchlight-based multi-voxel pattern analysis of fMRI by cross-validated MANOVA. Neuroimage. 89: 345-57. PMID 24296330 DOI: 10.1016/J.Neuroimage.2013.11.043  0.648
2014 Soch J, Allefeld C, Haynes J. Solving the problem of overfitting in neuroimaging? Use of voxel-wise model comparison to test design parameters in first-level fMRI data analysis F1000research. 5. DOI: 10.7490/F1000Research.1096034.1  0.765
2014 Rusconi M, Allefeld C, Hohlefeld F, Deutschlaender R, Christophel T, Neumann W, Kuehn A, Haynes J. LP25: Predicting “free” motor-decisions from subcortical brain signals Clinical Neurophysiology. 125: S151. DOI: 10.1016/S1388-2457(14)50494-4  0.586
2012 Kuhlen AK, Allefeld C, Haynes JD. Content-specific coordination of listeners' to speakers' EEG during communication. Frontiers in Human Neuroscience. 6: 266. PMID 23060770 DOI: 10.3389/Fnhum.2012.00266  0.623
2012 Hackmack K, Paul F, Weygandt M, Allefeld C, Haynes JD. Multi-scale classification of disease using structural MRI and wavelet transform. Neuroimage. 62: 48-58. PMID 22609452 DOI: 10.1016/J.Neuroimage.2012.05.022  0.623
2012 Heinzle J, Allefeld C, Haynes JD. Information flow, dynamical systems theory and the human brain: Comment on "Information flow dynamics in the brain" by M.I. Rabinovich et al. Physics of Life Reviews. 9: 78-9; discussion 80-. PMID 22237168 DOI: 10.1016/J.Plrev.2011.12.007  0.579
2012 Ramirez F, Cichy RM, Allefeld C, Haynes J. Translation tolerant and category-selective encoding of orientation in the fusiform face area Journal of Vision. 12: 1180-1180. DOI: 10.1167/12.9.1180  0.585
2011 Allefeld C, Pütz P, Kastner K, Wackermann J. Flicker-light induced visual phenomena: frequency dependence and specificity of whole percepts and percept features. Consciousness and Cognition. 20: 1344-62. PMID 21123084 DOI: 10.1016/J.Concog.2010.10.026  0.57
2010 Ott U, Wackermann J, Allefeld C, Gebhardt H, Walter B, Vaitl D. Global EEG descriptors and default-mode network during daydreaming and meditation International Journal of Psychophysiology. 77: 217-217. DOI: 10.1016/J.Ijpsycho.2010.06.299  0.56
2009 Allefeld C, Atmanspacher H, Wackermann J. Mental states as macrostates emerging from brain electrical dynamics. Chaos (Woodbury, N.Y.). 19: 015102. PMID 19335006 DOI: 10.1063/1.3072788  0.59
2009 Wackermann J, Allefeld C. State space representation and global descriptors of brain electrical activity Electrical Neuroimaging. 191-214. DOI: 10.1017/CBO9780511596889.010  0.549
2008 Wackermann J, Pütz P, Allefeld C. Ganzfeld-induced hallucinatory experience, its phenomenology and cerebral electrophysiology. Cortex; a Journal Devoted to the Study of the Nervous System and Behavior. 44: 1364-78. PMID 18621366 DOI: 10.1016/J.Cortex.2007.05.003  0.603
2007 Wackermann J, Allefeld C. On the meaning and interpretation of global descriptors of brain electrical activity. Including a reply to X. Pei et al. International Journal of Psychophysiology : Official Journal of the International Organization of Psychophysiology. 64: 199-210. PMID 17368592 DOI: 10.1016/J.Ijpsycho.2007.02.003  0.618
2006 Allefeld C. About the derivation of the SCA algorithm International Journal of Bifurcation and Chaos. 16: 3705-3706. DOI: 10.1142/S0218127406017099  0.306
2004 Allefeld C, Kurths J. An approach to multivariate phase synchronization analysis and its application to event-related potentials International Journal of Bifurcation and Chaos in Applied Sciences and Engineering. 14: 417-426. DOI: 10.1142/S0218127404009521  0.328
Low-probability matches (unlikely to be authored by this person)
2014 Winkler I, Brandl S, Horn F, Waldburger E, Allefeld C, Tangermann M. Robust artifactual independent component classification for BCI practitioners. Journal of Neural Engineering. 11: 035013. PMID 24836294 DOI: 10.1088/1741-2560/11/3/035013  0.288
2004 Allefeld C, Kurths J. Testing for phase synchronization International Journal of Bifurcation and Chaos in Applied Sciences and Engineering. 14: 405-416. DOI: 10.1142/S021812740400951X  0.266
2007 Allefeld C, Bialonski S. Detecting synchronization clusters in multivariate time series via coarse-graining of Markov chains. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics. 76: 066207. PMID 18233904 DOI: 10.1103/Physreve.76.066207  0.258
2007 Allefeld C, Müller M, Kurths J. Eigenvalue decomposition as a generalized synchronization cluster analysis International Journal of Bifurcation and Chaos. 17: 3493-3497. DOI: 10.1142/S0218127407019251  0.254
2005 Allefeld C, Frisch S, Schlesewsky M. Detection of early cognitive processing by event-related phase synchronization analysis. Neuroreport. 16: 13-6. PMID 15618881 DOI: 10.1097/00001756-200501190-00004  0.252
2017 Yan C, Christophel T, Allefeld C, Haynes J. Decoding visually complex Chinese Characters during short-term memory from language related regions Journal of Vision. 17: 1128. DOI: 10.1167/17.10.1128  0.226
2009 Bialonski S, Allefeld C, Wellmer J, Elger C, Lehnertz K. 87. An approach to identify synchronization clusters within the epileptic network Clinical Neurophysiology. 120: e37-e38. DOI: 10.1016/J.Clinph.2008.07.086  0.212
2008 Bialonski S, Allefeld C, Wellmer J, Elger C, Lehnertz K. An approach to identify synchronization clusters within the epileptic network Klinische Neurophysiologie. 39. DOI: 10.1055/S-2008-1072881  0.212
2023 Yan C, Christophel TB, Allefeld C, Haynes JD. Categorical working memory codes in human visual cortex. Neuroimage. 274: 120149. PMID 37191658 DOI: 10.1016/j.neuroimage.2023.120149  0.163
2020 Yan C, Christophel TB, Allefeld C, Haynes JD. Decoding verbal working memory representations of Chinese characters from Broca's area. Neuroimage. 117595. PMID 33248261 DOI: 10.1016/j.neuroimage.2020.117595  0.142
2003 Allefeld C, Kurths J. Multivariate Phase Synchronization Analysis of EEG Data Ieice Transactions On Fundamentals of Electronics, Communications and Computer Sciences. 2218-2221.  0.14
2023 Guseva M, Bogler C, Allefeld C, Haynes JD. Instruction effects on randomness in sequence generation. Frontiers in Psychology. 14: 1113654. PMID 37034908 DOI: 10.3389/fpsyg.2023.1113654  0.126
2015 Allefeld C, J-D Haynes. Multi-voxel Pattern Analysis Brain Mapping: An Encyclopedic Reference. 1: 641-646. DOI: 10.1016/B978-0-12-397025-1.00345-6  0.094
2008 Allefeld C. The hollow of being: What can we learn from merleau-ponty's ontology for a science of consciousness? Mind and Matter. 6: 235-255.  0.019
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