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 selectionWebsite:
http://orcid.org/0000-0002-8879-5666Google:
"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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Parents
Sign in to add mentor| Holger Lyre | grad student | 2010-2013 | Otto von Guericke University Magdeburg | |
| (B.A. 2010, M.A. 2013) | ||||
| Björn Schott | grad student | 2010-2013 | Leibniz Institute for Neurobiology (LIN), Magdeburg | |
| (B.A. 2010, M.Sc. 2012) | ||||
| Carsten Allefeld | grad student | 2014-2017 | Bernstein Center for Computational Neuroscience (BCCN) Berlin | |
| (Ph.D. 2014-2017) | ||||
| John Dylan Haynes | grad student | 2014-2017 | Bernstein Center for Computational Neuroscience (BCCN) Berlin | |
| (Ph.D. 2014-2017) | ||||
Collaborators
Sign in to add collaborator| Kai Görgen | collaborator | Bernstein Center for Computational Neuroscience (BCCN) Berlin | ||
| (Haynes Lab) | ||||
| Achim Pascal Meyer | collaborator | Bernstein Center for Computational Neuroscience (BCCN) Berlin | ||
| (Haynes Lab) | ||||
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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 |