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Brain-inspired Predictive Coding Improves the Performance of Machine Challenging Tasks
Backpropagation has been regarded as the most favorable algorithm for training artificial neural networks. However, it has been criticized for its biological implausibility because its learning mechanism contradicts the human brain. Although backpropagation has achieved super-human performance in va...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9709416/ https://www.ncbi.nlm.nih.gov/pubmed/36465966 http://dx.doi.org/10.3389/fncom.2022.1062678 |