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An Evaluation of Representational Similarity Analysis for Model Selection and Assessment in Computational Neuroscience
Chen, L.
2023-09-18
neuroscience
10.1101/2023.09.18.558316
bioRxiv
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Matching journals
●Non-profit
◐University press
○Commercial
The top 2 journals account for 50% of the predicted probability mass.
2
NeuroImage
○
903 papers in training set
Top 0.2%
31.5%
Similar papers in this journal
50% of probability mass above
3
PLOS ONE
●
5266 papers in training set
Top 34%
3.5%
Similar papers in this journal
- Analysing linear multivariate pattern transformations in neuroimaging data 96%
- Sparse Representation Learning Derives Biological Features with Explicit Gene Weights from the Allen Mouse Brain Atlas 94%
- Personalized models of Disorders of Consciousness revealcomplementary roles of connectivity and local parameters in diagnosis and prognosis 94%
4
Imaging Neuroscience
●
282 papers in training set
Top 2%
2.7%
Similar papers in this journal
- Non-Gaussian Normative Modelling With Hierarchical Bayesian Regression 96%
- Spectral graph model for fMRI: a biophysical, connectivity-based generative model for the analysis of frequency-resolved resting state fMRI 95%
- Simultaneous Confidence Regions for Image Excursion Sets: a Validation Study with Applications in fMRI 95%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.