Entropy-based metrics for predicting choice behavior based on local response to reward
Animals distribute their choices between alternative options according to relative reinforcement they receive from those options (matching law). Here, the authors propose metrics based on information theory that can predict this global behavioral rule based on local response to reward feedback.
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| Autores principales: | , , , , , |
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| Formato: | article |
| Lenguaje: | EN |
| Publicado: |
Nature Portfolio
2021
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| Materias: | |
| Acceso en línea: | https://doaj.org/article/51544af4ad5344eab6ddd389142bf066 |
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| Sumario: | Animals distribute their choices between alternative options according to relative reinforcement they receive from those options (matching law). Here, the authors propose metrics based on information theory that can predict this global behavioral rule based on local response to reward feedback. |
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