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Hidden Hypergraphs, Error-Correcting Codes, and Critical Learning in Hopfield Networks
In 1943, McCulloch and Pitts introduced a discrete recurrent neural network as a model for computation in brains. The work inspired breakthroughs such as the first computer design and the theory of finite automata. We focus on learning in Hopfield networks, a special case with symmetric weights and...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8622935/ https://www.ncbi.nlm.nih.gov/pubmed/34828192 http://dx.doi.org/10.3390/e23111494 |