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A neural active inference model of perceptual-motor learning
The active inference framework (AIF) is a promising new computational framework grounded in contemporary neuroscience that can produce human-like behavior through reward-based learning. In this study, we test the ability for the AIF to capture the role of anticipation in the visual guidance of actio...
Autores principales: | Yang, Zhizhuo, Diaz, Gabriel J., Fajen, Brett R., Bailey, Reynold, Ororbia, Alexander G. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9986490/ https://www.ncbi.nlm.nih.gov/pubmed/36890967 http://dx.doi.org/10.3389/fncom.2023.1099593 |
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