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The impact of sparsity in low-rank recurrent neural networks
Neural population dynamics are often highly coordinated, allowing task-related computations to be understood as neural trajectories through low-dimensional subspaces. How the network connectivity and input structure give rise to such activity can be investigated with the aid of low-rank recurrent ne...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Public Library of Science
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9390915/ https://www.ncbi.nlm.nih.gov/pubmed/35944030 http://dx.doi.org/10.1371/journal.pcbi.1010426 |