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Stochastic surprisal: An inferential measurement of free energy in neural networks
This paper conjectures and validates a framework that allows for action during inference in supervised neural networks. Supervised neural networks are constructed with the objective to maximize their performance metric in any given task. This is done by reducing free energy and its associated surpri...
| Autores principales: | , |
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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/PMC10043257/ https://www.ncbi.nlm.nih.gov/pubmed/36998731 http://dx.doi.org/10.3389/fnins.2023.926418 |