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Bio-Inspired Evolutionary Model of Spiking Neural Networks in Ionic Liquid Space
One of the biggest struggles while working with artificial neural networks is being able to come up with models which closely match biological observations. Biological neural networks seem to capable of creating and pruning dendritic spines, leading to synapses being changed, which results in higher...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6856051/ https://www.ncbi.nlm.nih.gov/pubmed/31787863 http://dx.doi.org/10.3389/fnins.2019.01085 |