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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.


fyi, TD = Temporal Difference

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



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




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