Joram Soch
@joramsoch
Postdoc @OvGUpresse (formerly, @bccn_berlin, @DZNE_de & @MPI_CBS), member @OHBM, admin @StatProofBook. fMRI data analysis, Bayesian model selection.
ID: 783977915050590208
http://orcid.org/0000-0002-8879-5666 06-10-2016 10:31:15
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490 Followers
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New paper with @SchottBjorn, @JKizilirmak, A.Richter et al. on Bayesian model selection for #fMRI #memory effects: "Reduced expression of fMRI subsequent memory effects with increasing severity across the Alzheimer’s disease risk spectrum". Now with PDF! direct.mit.edu/imag/article/d…
New paper with @karolisdegutis, Simon Weber and John-Dylan Haynes on multiplexing of (visual working) memory and perception under sensory distraction: "Neural dynamics of visual working memory representation during sensory distraction". #WM #fMRI elifesciences.org/reviewed-prepr…
Talk at the BCCN Berlin alumni meeting on May 24, 2025: "Adventures in Bayesian model selection and Bayesian machine learning" #ML #MBI #BMS figshare.com/articles/prese…
Talk at the BCCN Berlin alumni meeting on May 24, 2025: "Adventures in Bayesian model selection and Bayesian machine learning" #ML #MBI #BMS youtube.com/watch?v=byL0zp…
New paper with MPI für Kognitions- & Neurowissenschaften colleagues on visual numerosity perception in children vs. adults: "High-field fMRI at 7 Tesla reveals topographic responses tuned to number in the developing human brain". #Numerosity #fMRI doi.org/10.1016/j.dcn.…