currently a post-doc @ sites.brown.edu/badrelab
curious about control of decision making, neural dynamics, multivariate stats
mcfreund.github.io
But this is also sobering: clearly, time-aligned trial averaging has *deep* flaws -- yet so much of human cog neuro relies on it, due to unavailability of high-SNR recordings...
But this is also sobering: clearly, time-aligned trial averaging has *deep* flaws -- yet so much of human cog neuro relies on it, due to unavailability of high-SNR recordings...
doi.org/10.1038/s415...
doi.org/10.1038/s415...
So the decoders we used didn't require the neural signatures to be aligned across subjects, but only across sessions w/in subject. Seems likely that at finer spatial scales, multi-subj decoders would lose sensitivity more quickly than subject-specific ones.
So the decoders we used didn't require the neural signatures to be aligned across subjects, but only across sessions w/in subject. Seems likely that at finer spatial scales, multi-subj decoders would lose sensitivity more quickly than subject-specific ones.