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The impact of learning on perceptual decisions and its implication for speed-accuracy tradeoffs

Here, the authors show that rats’ performance on olfactory decision tasks is best explained by a Bayesian model that combines reinforcement-based learning with accumulation of uncertain sensory evidence. The results suggest that learning is a critical factor contributing to speed-accuracy tradeoffs.

Furkejuvvon:
Bibliográfalaš dieđut
Váldodahkkit: André G. Mendonça, Jan Drugowitsch, M. Inês Vicente, Eric E. J. DeWitt, Alexandre Pouget, Zachary F. Mainen
Materiálatiipa: Artigo
Giella:Inglês
Almmustuhtton: Nature Portfolio 2020-06-01
Ráidu:Nature Communications
Liŋkkat:https://doi.org/10.1038/s41467-020-16196-7
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