Ask HN: What's the best paper you've read in 2020?

Re:Ask HN: What's the best paper you've read in 2020? by SurfingToad on Tuesday December 08, 2020 @02:56PM (#25350494)

One of my favorites is definitely A Unified Framework for Dopamine Signals across Timescales (https://doi.org/10.1016/j.cell.2020.11.013), simply because of its experimental design. They 'teleported' rats in VR to see how their dopamine neurons responded, to determine whether TD learning explains dopamine signals on both short and long timescales. Short answer: it does.

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Re:Ask HN: What's the best paper you've read in 2020? by valbaca on Tuesday December 08, 2020 @02:59PM (#25350538)

fyi, TD = Temporal Difference

"Temporal difference (TD) error is a powerful teaching signal in machine learning"

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Re:Ask HN: What's the best paper you've read in 2020? by ich on Tuesday December 08, 2020 @06:43PM (#25353217)

Seems also available here: https://www.biorxiv.org/content/10.1101/803437v1

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Re:Ask HN: What's the best paper you've read in 2020? by jonnycomputer on Tuesday December 08, 2020 @03:07PM (#25350649)

Interesting I'll have to take a look at this paper.

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