Synthetic biology routes to bio-artificial intelligence

The design of synthetic gene networks (SGNs) has advanced to the extent that novel genetic circuits are now being tested for their ability to recapitulate archetypal learning behaviours first defined in the fields of machine and animal learning. Here, we discuss the biological implementation of a pe...

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Detalles Bibliográficos
Autores principales: Nesbeth, Darren N., Zaikin, Alexey, Saka, Yasushi, Romano, M. Carmen, Giuraniuc, Claudiu V., Kanakov, Oleg, Laptyeva, Tetyana
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Portland Press Limited 2016
Materias:
57
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5264507/
https://www.ncbi.nlm.nih.gov/pubmed/27903825
http://dx.doi.org/10.1042/EBC20160014

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5264507/
https://www.ncbi.nlm.nih.gov/pubmed/27903825
http://dx.doi.org/10.1042/EBC20160014

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