Learning probabilistic representations with randomly connected neural circuits

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This paper has nice graphics:
https://www.biorxiv.org/content/10.1101/478545v1.full
Thank you.

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Reminds me of reservoir computing, except looks like these guys let the network form new connections after initialization. I didn’t read very closely

I enjoyed learning about LSNN from Wolfgang Mass

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