Late Bayesian inference in mental transformations
Many skills rely on performing noisy mental computations on noisy sensory measurements. Bayesian models suggest that humans compensate for measurement noise and reduce behavioral variability by biasing perception toward prior expectations. Whether a similar strategy is employed to compensate for noi...
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| Format: | Article |
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Nature Publishing Group
2019
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| Online Access: | http://hdl.handle.net/1721.1/121034 https://orcid.org/0000-0003-4431-8195 https://orcid.org/0000-0001-6052-6213 |