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It's using a generative RNN that's given a small foveated input from a visual image, and then generates a saccade based on where in the reconstructed image is the highest uncertainty. This might be an interesting basis for a more complex biological model of this whole process.
The text was updated successfully, but these errors were encountered:
There's an interesting paper here:
https://www.biorxiv.org/content/10.1101/2020.02.14.948992v1
It's using a generative RNN that's given a small foveated input from a visual image, and then generates a saccade based on where in the reconstructed image is the highest uncertainty. This might be an interesting basis for a more complex biological model of this whole process.
The text was updated successfully, but these errors were encountered: