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From Rats to Humans: how novel behavioral paradigms and reinforcement learning can bridge the gap in translation

A challenge in translational research is comparing behaviors across species. A new study combines a novel behavioral paradigm in rats and humans with reinforcement learning to infer shared computations for goal-directed navigation.

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Fig. 1: Inference of underlying computations as a function of the identification of overlapping behaviors between species and an artificial RL agent.


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Correspondence to Lisa M. Giocomo.

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Gonzalez, A., Giocomo, L.M. From Rats to Humans: how novel behavioral paradigms and reinforcement learning can bridge the gap in translation. Lab Anim 51, 289–290 (2022).

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