plausibly reduce dimensional space of outputs

neurodream / 3D_from_eeg

attempts to use resting/functional EEG to derive, via AI, a volume suitable for beamforming

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Open nicoa47 opened 2 years ago

nicoa47 commented 2 years ago

maybe learn from ontogeny: dynamics of how is brain folded? can these forces be reduced to low-dim. space?
- counter arg.: far away from level of explanandum: surface shape
gyri might be represented as a set of curves with thickness
...?

neurodream commented 2 weeks ago

blind approach might be autoencoders