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Geometric framework to predict structure from function in neural networks
Neural computation in biological and artificial networks relies on the nonlinear summation of many inputs. The structural connectivity matrix of synaptic weights between neurons is a critical determinant of overall network function, but quantitative links between neural network structure and functio...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10456994/ https://www.ncbi.nlm.nih.gov/pubmed/37635906 http://dx.doi.org/10.1103/physrevresearch.4.023255 |