Reading the @ProfData paper and @KriegeskorteLab review what really strikes me is that both assume that readout neurons have access to beta parameters. They seem to agree on that. :/
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Yes! This is what I was expecting when I started reading. I feel like talking about the "best" similarity measure requires linking similarity in the neural encoding space to similarity in the measurement space. Allows for better benchmarks, no?
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Exactly what I was thinking about, if the fMRI approach works at all, the neutral code to fMRI transform must be smooth enough. However, I expect generalization tests with units not used in model fitting to be crucial for this evaluation
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