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Learning to synchronize: How biological agents can couple neural task modules for dealing with the stability-plasticity dilemma
We provide a novel computational framework on how biological and artificial agents can learn to flexibly couple and decouple neural task modules for cognitive processing. In this way, they can address the stability-plasticity dilemma. For this purpose, we combine two prominent computational neurosci...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Public Library of Science
2019
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6716678/ https://www.ncbi.nlm.nih.gov/pubmed/31430280 http://dx.doi.org/10.1371/journal.pcbi.1006604 |