Dear Sisters and Brothers in Neuroscience,
I have a chance to work on a dataset designed and collected by someone else. I’ve been asked to perform a decoding analysis, but there’s a challenge. The dataset has each condition in a separate run, and each run has only 24 trials (so the first run has 24 trials, all of them from the condition A, the second run has 24 trials, all of them from the condition B, and so on).
I’m concerned that there aren’t enough trials per condition, but what is even more important we would be decoding conditions that are isolated in separate runs.
Do you think there is a way to perform a decoding analysis with this setup? Any advice would be greatly appreciated.
Thanks!