A neuro-inspired general framework for the evolution of stochastic dynamical systems: Cellular automata, random Boolean networks and echo state networks towards criticality

Although deep learning has recently increased in popularity, it suffers from various problems including high computational complexity, energy greedy computation, and lack of scalability, to mention a few. In this paper, we investigate an alternative brain-inspired method for data analysis that circu...

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Detalles Bibliográficos
Autores principales: Pontes-Filho, Sidney, Lind, Pedro, Yazidi, Anis, Zhang, Jianhua, Hammer, Hugo, Mello, Gustavo B. M., Sandvig, Ioanna, Tufte, Gunnar, Nichele, Stefano
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Netherlands 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7501380/
https://www.ncbi.nlm.nih.gov/pubmed/33014179
http://dx.doi.org/10.1007/s11571-020-09600-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7501380/
https://www.ncbi.nlm.nih.gov/pubmed/33014179
http://dx.doi.org/10.1007/s11571-020-09600-x

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