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Abstract representations emerge naturally in neural networks trained to perform multiple tasks
Humans and other animals demonstrate a remarkable ability to generalize knowledge across distinct contexts and objects during natural behavior. We posit that this ability to generalize arises from a specific representational geometry, that we call abstract and that is referred to as disentangled in...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Nature Publishing Group UK
2023
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9950464/ https://www.ncbi.nlm.nih.gov/pubmed/36823136 http://dx.doi.org/10.1038/s41467-023-36583-0 |