Joram Soch
Joram Soch is currently a PostDoc ("Wissenschaftlicher Mitarbeiter"/Research Associate) in the lab. He obtained his B.A. in Philosophy-Neuroscience-Cognition (2007–2010), his M.Sc. in Integrative Neuroscience (2010–2012) and his M.A. in Philosophy of Mind (2011–2013) from the Otto von Guericke University (OvGU) in Magdeburg. He joined the lab in January 2014 beginning to work on his Ph.D. thesis on model selection for general linear models in fMRI data analysis. He was an associated member of the Research Training Group “Sensory Computation in Neural Systems” and received two scholarships for his Ph.D. project, a Research Track Scholarship from the Humboldt Graduate School and an Elsa Neumann Scholarship from the State of Berlin. The Ph.D. thesis has been defended in December 2017. Since then, Joram has been a postdoc in the lab. Since 2020, Joram is also working at the German Center for Neurodegenerative Diseases (DZNE) in Göttingen.
Publications
Soch J*, Richter A*, Kizilirmak JM, Schütze H, Feldhoff H, Fischer L, Knopf L, Raschick M, Schult A, Düzel E, Schott BH (submitted). Structural and functional MRI data differentially predict chronological age and behavioral memory performance. Submitted to Journal of Neuroscience, available from bioRxiv; DOI: 10.1101/2022.03.24.485603.
Soch J, Haynes JD (submitted). Indirect decoding of behavior from brain signals via reconstruction of experimental conditions. Submitted to NeuroImage, available from bioRxiv; DOI: 10.1101/2022.03.24.485588.
Soch J*, Richter A*, Schütze H, Kizilirmak JM, Assmann A, […], Yakupov R, Ziegler G, Wiltfang J, Düzel E, Schott BH (2021). A comprehensive score reflecting memory-related fMRI activations and deactivations as potential biomarker for neurocognitive aging. Human Brain Mapping, 42, 14, 4478-4496; DOI: 10.1002/hbm.25559.
Soch J*, Richter A*, Schütze H, Kizilirmak JM, Assmann A, […], Maass A, Ziegler G, Richardson-Klavehn A, Düzel E, Schott BH (2021). Bayesian model selection favors parametric over categorical fMRI subsequent memory models in young and older adults. NeuroImage, 230, 117820; DOI: 10.1016/j.neuroimage.2021.117820.
Soch J (2020). Distributional Transformation Improves Decoding Accuracy When Predicting Chronological Age From Structural MRI. Frontiers in Psychiatry, 11, 604268; DOI: 10.3389/fpsyt.2020.604268.
Soch J, Allefeld C, Haynes JD (2020). Inverse Transformed Encoding Models – a solution to the problem of correlated trial-by-trial parameter estimates in fMRI decoding. NeuroImage, 209, 116449; DOI: DOI: 10.1016/j.neuroimage.2019.116449.
Soch J, Allefeld C (2018). MACS – a new SPM toolbox for model assessment, comparison and selection. Journal of Neuroscience Methods, 306, 19-31; DOI: 10.1016/j.jneumeth.2018.05.017.
Soch J, Meyer AP, Haynes JD, Allefeld C (2017). How to improve parameter estimates in GLM-based fMRI data analysis: cross-validated Bayesian model averaging. NeuroImage, 158, 186-195; DOI: 10.1016/j.neuroimage.2017.06.056.
Soch J, Haynes JD, Allefeld C (2016). How to avoid mismodelling in GLM-based fMRI data analysis: cross-validated Bayesian model selection. NeuroImage, 141, 469-489; DOI: 10.1016/j.neuroimage.2016.07.047.
Soch J, Deserno L, Assmann A, Barman A, Walter H, Richardson-Klavehn A, Schott BH (2016). Inhibition of Information Flow to the Default Mode Network During Self-Reference Versus Reference to Others. Cerebral Cortex, 27, 8, 3930-3942; DOI: 10.1093/cercor/bhw206.
Projects
Multivariate Bayesian Inversion for Classification and Regression (01/2022 – 12/2023)
Soch J, Allefeld C, Ostwald D
Neurobehavioral decoding: from data to design to behavior (01/2020 – 12/2021)
Soch J, Haynes JD
The Book of Statistical Proofs (Wikimedia Fellowship Programme, 09/2019 – 06/2020)
Soch J
Transformation encoding models for multivariate pattern analysis (07/2017 – 12/2019)
Soch J, Allefeld C, Haynes JD
Model selection for general linear models in fMRI data analysis (Dissertation, 01/2014 – 12/2017)
Soch J, Bogler C, Meyer AP, Allefeld C, Haynes JD
True Sub-Population Inference for Second-Level Model Selection (DFG application pending)
Soch J
Contact
Phone: +49 (0)30 2093 6765
Mobile: +49 (0)176 2830 3980
E-Mail: joram.soch@bccn-berlin.de