Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Active vision with uncertainty-based saccade generation #108

Open
tcstewar opened this issue May 13, 2020 · 0 comments
Open

Active vision with uncertainty-based saccade generation #108

tcstewar opened this issue May 13, 2020 · 0 comments

Comments

@tcstewar
Copy link
Member

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.

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

1 participant