Joram Soch

Affiliations: 
2010-2013 Department of Behavioral Neurology Leibniz Institute for Neurobiology (LIN), Magdeburg 
 2013- Theory and Analysis of Large-Scale Brain Signals Bernstein Center for Computational Neuroscience (BCCN) Berlin, Berlin, Berlin, Germany 
Area:
cognitive neuroscience, fMRI data analysis, Bayesian model selection
Website:
http://orcid.org/0000-0002-8879-5666
Google:
"Joram Soch"
Bio:

+++ Otto von Guericke University (OvGU), Magdeburg: / 2007-2010: B.A. Philosophy-Neuroscience-Cognition / 2010-2012: M.Sc. Integrative Neuroscience / 2011-2013: M.A. Philosophy of Mind. +++ Bernstein Center for Computational Neuroscience (BCCN), Berlin: / 2014-2017: Ph.D. Computational Neurosicence. +++

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Publications

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Kizilirmak JM, Fischer L, Krause J, et al. (2021) Learning by Insight-Like Sudden Comprehension as a Potential Strategy to Improve Memory Encoding in Older Adults. Frontiers in Aging Neuroscience. 13: 661346
Soch J, Richter A, Schütze H, et al. (2021) A comprehensive score reflecting memory-related fMRI activations and deactivations as potential biomarker for neurocognitive aging. Human Brain Mapping
Soch J, Richter A, Schütze H, et al. (2021) Bayesian model selection favors parametric over categorical fMRI subsequent memory models in young and older adults. Neuroimage. 117820
Assmann A, Richter A, Schütze H, et al. (2020) Neurocan genome-wide psychiatric risk variant affects explicit memory performance and hippocampal function in healthy humans. The European Journal of Neuroscience
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
Soch J, Allefeld C. (2018) MACS - a new SPM toolbox for model assessment, comparison and selection. Journal of Neuroscience Methods
Soch J, Haynes J. (2018) Population receptive field analysis using Bayesian model selection F1000research. 7
Barbieri R, Töpfer F, Soch J, et al. (2018) Feature-continuous motion judgements: Assessing different random dot motion displays Journal of Vision. 18: 668
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
Richter A, Barman A, Wüstenberg T, et al. (2017) Behavioral and Neural Manifestations of Reward Memory in Carriers of Low-Expressing versus High-Expressing Genetic Variants of the Dopamine D2 Receptor. Frontiers in Psychology. 8: 654
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