Tutorial 4 Ethan Meyers - Understanding Neural Content via Population Decoding
The phone and content is provided under a Creative Commons license. Your support will help MIT OpenCourseWare continue to offer high quality educational resources for free. To make a donation or view additional materials from hundreds of MIT courses, visit MIT OpenCourseWare at ocw.mit.edu. ETHAN MEYERS: What I'm talking about today is neural population decoding, which is very similar to what Rebecca was talking about, except for I'm talking about now more on the single neuron level and also talk a bit about some MEG at the end. But kind of to tie it to what was previously discussed, Rebecca talked a lot about, at the end, the big catastrophe. Well, you don't know if something is not there in the fMRI signal because things could be masked when you're averaging over a large region as you do when you're recording from those bold signals. And when you're doing decoding on single neurons, that is not really an issue because you're actually going do...