- This is the main task I am working on
- Received initial review back on 11/21/22
- Revisions "must be submitted within 3 months"
- Main concern is that the paper is of 'limited generalizability'
- Only uses one dataset. How would it generalize to other stimuli or tasks in RSA studies?
- Not clear what the contribution is
- Increasing N improves signal. Need to clarify what the results add
- Some citation questions
- Following points need to be addressed:
- a) can adress other stimuli
- b) 6 presentations is a lot. In block designs this would not be, but we could get at this by considering the 'conditions' to be the categories
- In SOE data, 8 categories each with 6*40 repetitions
- c) can be fixed by doing analysis in different ROI's, parcellation
- d) seems like wording problem
- Thinks we should spend more time discussing the generalizability of the results
- Thinks we should spend more time discussing the generalizability of the results
- elaborate on what conditions we think the results should hold for
- Encouraged to explore in more depth how improvements in reliability change discriminability of the models
- Clarify formula
- Reference a double bootstrap paper
- Expand on relationship between group average RDM sensitivity and statistical inference
- Reviewer 1 is harder to address
- To show generalizability, wanted to show other datasets
- Show CAT data
- Show ERV data
- Shows generalizability to different kinds of words, and we actually changed experimental design
- Show AVA data
- While it is all same task, different participants, studies, words
- Since the original submission of the paper, I have reprocessed all data through a new version of fmriprep
- Don't even have the old data, plus I wanted to add in CAT data
- Spent some time trying to figure out how to exclude participants
- Calculate correlation between mean FD and mean RSA correlation
- Calculate correlation between mean Fstat and mean RSA correlation
- Looked at within participant reliability and average RSA
- Created a new measure of consistency
- No easy way to exclude ...
- Can deal with later
- BUT
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