Neural mechanisms for integrating prior knowledge and likelihood in value-based probabilistic inference
碩士 === 國立陽明大學 === 神經科學研究所 === 103 === In Bayesian decision theory, knowledge about the probabilities of possible outcomes associated with an option is captured by a prior distribution and a likelihood function. The prior reflects past knowledge, the likelihood summarizes current sensory information....
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | en_US |
| Published: |
2014
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| Online Access: | http://ndltd.ncl.edu.tw/handle/10913607214734549060 |