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...

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Detalles Bibliográficos
Autores principales: Iranmehr, Ensieh, Shouraki, Saeed Bagheri, Faraji, Mohammad Mahdi, Bagheri, Nasim, Linares-Barranco, Bernabe
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2019
Materias:
Neuroscience
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

Internet

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

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