A solution to the learning dilemma for recurrent networks of spiking neurons

Recurrently connected networks of spiking neurons underlie the astounding information processing capabilities of the brain. Yet in spite of extensive research, how they can learn through synaptic plasticity to carry out complex network computations remains unclear. We argue that two pieces of this p...

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Detalles Bibliográficos
Autores principales: Bellec, Guillaume, Scherr, Franz, Subramoney, Anand, Hajek, Elias, Salaj, Darjan, Legenstein, Robert, Maass, Wolfgang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7367848/
https://www.ncbi.nlm.nih.gov/pubmed/32681001
http://dx.doi.org/10.1038/s41467-020-17236-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7367848/
https://www.ncbi.nlm.nih.gov/pubmed/32681001
http://dx.doi.org/10.1038/s41467-020-17236-y

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