A nonlinear updating algorithm captures suboptimal inference in the presence of signal-dependent noise
Abstract Bayesian models have advanced the idea that humans combine prior beliefs and sensory observations to optimize behavior. How the brain implements Bayes-optimal inference, however, remains poorly understood. Simple behavioral tasks suggest that the brain can flexibly represent probability dis...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Publishing Group
2018-08-01
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| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-018-30722-0 |