Micah G. Allen
@micahgallen.com
Professor of Computational Neuroscience and Psychiatry, Aarhus University. PI @ the Embodied Computation Group. We study perception, interoception, & metacogniton.
https://www.the-ecg.org
https://www.the-ecg.org
Reposted by Micah G. Allen
Factor analysis and varimax have been widely misunderstood among statisticians. Two years ago, Muzhe Zeng and I had a discussion paper at JRSS-B that tried to clarify why factor analysis and varimax were actually decades ahead of their time
It’s free (with discussion) here:
doi.org/10.1093/jrss...
It’s free (with discussion) here:
doi.org/10.1093/jrss...
Vintage factor analysis with Varimax performs statistical inference
Abstract. In the 1930s, Psychologists began developing Multiple-Factor Analysis to decompose multivariate data into a small number of interpretable factors
doi.org
November 20, 2025 at 6:28 PM
Factor analysis and varimax have been widely misunderstood among statisticians. Two years ago, Muzhe Zeng and I had a discussion paper at JRSS-B that tried to clarify why factor analysis and varimax were actually decades ahead of their time
It’s free (with discussion) here:
doi.org/10.1093/jrss...
It’s free (with discussion) here:
doi.org/10.1093/jrss...
Awesome I will stay tuned!
November 21, 2025 at 8:47 AM
Awesome I will stay tuned!
I would very much like to try out this new analysis! Have the group released a general purpose toolkit yet?
November 21, 2025 at 8:04 AM
I would very much like to try out this new analysis! Have the group released a general purpose toolkit yet?
Reposted by Micah G. Allen
And the next step? Full voxel-level modeling.
Recent numerical advances cracked the scalability barrier. Voxel-level hierarchical modeling is now feasible, revealing just how punishing traditional multiple-comparison adjustments really are.
arxiv.org/abs/2511.12825
Recent numerical advances cracked the scalability barrier. Voxel-level hierarchical modeling is now feasible, revealing just how punishing traditional multiple-comparison adjustments really are.
arxiv.org/abs/2511.12825
SIMBA: Scalable Image Modeling using a Bayesian Approach, A Consistent Framework for Including Spatial Dependencies in fMRI Studies
Bayesian spatial modeling provides a flexible framework for whole-brain fMRI analysis by explicitly incorporating spatial dependencies, overcoming the limitations of traditional massive univariate app...
arxiv.org
November 18, 2025 at 10:13 PM
And the next step? Full voxel-level modeling.
Recent numerical advances cracked the scalability barrier. Voxel-level hierarchical modeling is now feasible, revealing just how punishing traditional multiple-comparison adjustments really are.
arxiv.org/abs/2511.12825
Recent numerical advances cracked the scalability barrier. Voxel-level hierarchical modeling is now feasible, revealing just how punishing traditional multiple-comparison adjustments really are.
arxiv.org/abs/2511.12825
this is great sam. You truly are living your best life down there!
November 19, 2025 at 9:34 PM
this is great sam. You truly are living your best life down there!
Reposted by Micah G. Allen
In a large, preregistered study (see preprint), we compared InteroMap to emBODY. Overall, InteroMap demonstrated superior construct validity and usability
www.researchgate.net/publication/...
www.researchgate.net/publication/...
(PDF) InteroMap: A Novel Tool to Map the Phenomenology of Bodily Sensations
PDF | Interoception, the processing of internal bodily states, contributes to human behaviour through multiple cognitive and affective processes,... | Find, read and cite all the research you need on ...
www.researchgate.net
November 18, 2025 at 10:07 PM
In a large, preregistered study (see preprint), we compared InteroMap to emBODY. Overall, InteroMap demonstrated superior construct validity and usability
www.researchgate.net/publication/...
www.researchgate.net/publication/...