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

BCCN Berlin, Berlin, Berlin, Germany 
data analysis methods
"Carsten Allefeld"
Mean distance: 14.25 (cluster 23)
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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
Christophel TB, Yan C, Allefeld C, et al. (2019) Neural encoding models of color working memory reveal categorical representations in sensory cortex Journal of Vision. 19: 91b
Soch J, Allefeld C. (2018) MACS - a new SPM toolbox for model assessment, comparison and selection. Journal of Neuroscience Methods
Christophel TB, Iamshchinina P, Yan C, et al. (2018) Cortical specialization for attended versus unattended working memory. Nature Neuroscience
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
Christophel TB, Allefeld C, Endisch C, et al. (2017) 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
Soch J, Meyer AP, Haynes J, et al. (2017) Cross-validated Bayesian model averaging: how to improve parameter estimates in GLM-based fMRI data analysis F1000research. 6
Soch J, Allefeld C, Haynes J. (2017) The Overfitting Toolbox (TOT): large-scale search in model space for expected neuroimaging effects F1000research. 6
Allefeld C, Haynes J, Rosenblatt J. (2017) A permutation-like exact test for fMRI timeseries using orthogonal transformations F1000research. 6
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