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Redvolition t1_iwq2rwi wrote

Reply to comment by userbrn1 in Decoding fMRI based brain activities and reconstructing images with accurate semantics and image features using diffusion model by MysteryInc152

Don't think encoding is going to be all that difficult. Once we figure out how to record signals traveling through nerves non-invasively, all we would have to do is install the tech on a few dozens of people, then run them through stimulus sets, logging the correlations. Machine learning would do the rest.

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userbrn1 t1_iwqb63y wrote

How would we log those correlations? The end result we are trying to achieve is a conscious experience; we cannot directly measure that, so I'm not sure what data we would put into the machine learning model lol

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Redvolition t1_iwr6f4o wrote

Take the vestibular sense, for example:

Step 1: Intercept nerve signals to projection pathways via implant.

Step 2: Put human on motion capture suit.

Step 3: Run human through a variety of motions and positions.

Step 4: Correlate motion capture data with nerve signals.

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