Journal
NATURE COMMUNICATIONS
Volume 11, Issue 1, Pages -Publisher
NATURE PUBLISHING GROUP
DOI: 10.1038/s41467-020-16196-7
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Funding
- Champalimaud Foundation
- European Research Council [250334, 671251]
- Fundacao para a Ciencia e a Tecnologia [SFRH/BD/33938/2009, SFRH/BD/33274/2008]
- Human Frontier Science Program [RGP0027/2010]
- Simons Foundation [325057]
- University of Geneva
- Swiss National Science Foundation [31003A_143707, 31003A_165831]
- James S. McDonnell Foundation [220020462]
- National Institute of Mental Health [R01MH115554]
- Swiss National Science Foundation (SNF) [31003A_143707, 31003A_165831] Funding Source: Swiss National Science Foundation (SNF)
- Fundação para a Ciência e a Tecnologia [SFRH/BD/33938/2009] Funding Source: FCT
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In standard models of perceptual decision-making, noisy sensory evidence is considered to be the primary source of choice errors and the accumulation of evidence needed to overcome this noise gives rise to speed-accuracy tradeoffs. Here, we investigated how the history of recent choices and their outcomes interact with these processes using a combination of theory and experiment. We found that the speed and accuracy of performance of rats on olfactory decision tasks could be best explained by a Bayesian model that combines reinforcement-based learning with accumulation of uncertain sensory evidence. This model predicted the specific pattern of trial history effects that were found in the data. The results suggest that learning is a critical factor contributing to speed-accuracy tradeoffs in decision-making, and that task history effects are not simply biases but rather the signatures of an optimal learning strategy.
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