4 ms·
The researchers ‘taught' a model how small volumes of 2x2x2 mm from the brain scans - known as voxels - respond to individual pixels. There's got to be million
by abrichr 13y ago
The researchers ‘taught' a model how small volumes of 2x2x2 mm from the brain scans - known as voxels - respond to individual pixels.
There's got to be millions of neurons per 8mm3 of brain matter. I'd be interested to see what the images looked like before the prior knowledge was introduced.
- turing 13y agoI think that's part of what makes this so incredible. The current model uses only 1,200 voxels. With the higher resolution scanner mentioned at the end of the article, they will be able to use 15,000. With that in mind it seems this approach could have a lot of potential for further improvement.
- eykanal 13y agoWhile that's something to think about, keep in mind that the level of correlation between those voxels is ridiculously high. Simply adding more voxels isn't necessarily adding useful information. Even more so, fMRI is based on the BOLD effect [1], which is highly blurred across a fairly large area. While there is potential for improvement, there are a number of pretty fundamental limitations to this technology. [1]: http://en.wikipedia.org/wiki/Functional_magnetic_resonance_imaging#BOLD_hemodynamic_response http://en.wikipedia.org/wiki/Functional_magnetic_resonance_i...
- devindotcom 13y agoYeah. Although images are directly reflected in some way in the brain, it's mostly in certain layers of the visual cortex and it sure as hell isn't on the order of 2x2x2mm.