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A General Framework for Inferring Bayesian Ideal Observer Models from Psychophysical Data
A central question in neuroscience is how sensory inputs are transformed into percepts. At this point, it is clear that this process is strongly influenced by prior knowledge of the sensory environment. Bayesian ideal observer models provide a useful link between data and theory that can help resear...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Society for Neuroscience
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9833051/ https://www.ncbi.nlm.nih.gov/pubmed/36316119 http://dx.doi.org/10.1523/ENEURO.0144-22.2022 |