Multitask computation through dynamics in recurrent spiking neural networks

In this work, inspired by cognitive neuroscience experiments, we propose recurrent spiking neural networks trained to perform multiple target tasks. These models are designed by considering neurocognitive activity as computational processes through dynamics. Trained by input–output examples, these s...

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Detalles Bibliográficos
Autores principales: Pugavko, Mechislav M., Maslennikov, Oleg V., Nekorkin, Vladimir I.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10006454/
https://www.ncbi.nlm.nih.gov/pubmed/36899052
http://dx.doi.org/10.1038/s41598-023-31110-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10006454/
https://www.ncbi.nlm.nih.gov/pubmed/36899052
http://dx.doi.org/10.1038/s41598-023-31110-z

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