Bursting potentiates the neuro–AI connection

For decades, researchers have wondered whether algorithms used by artificial neural networks might be implemented by biological networks. Payeur et al. have strengthened the connection between neuroscience and artificial intelligence by showing that biologically plausible mechanisms can approximate...

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Bibliographic Details
Published in:Nature neuroscience 2021-07, Vol.24 (7), p.905-906
Main Authors: Sun, Weinan, Zhao, Xinyu, Spruston, Nelson
Format: Article
Language:English
Subjects:
631/378/116/1925
631/378/116/2396
631/378/2591
631/378/3920
Algorithms
Animal Genetics and Genomics
Artificial intelligence
Artificial neural networks
Behavioral Sciences
Biological Techniques
Biomedical and Life Sciences
Biomedicine
Brain research
Machine learning
Nervous system
Neural networks
Neurobiology
Neurosciences
News & Views
news-and-views
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Description
Summary:For decades, researchers have wondered whether algorithms used by artificial neural networks might be implemented by biological networks. Payeur et al. have strengthened the connection between neuroscience and artificial intelligence by showing that biologically plausible mechanisms can approximate key features of an essential artificial intelligence learning algorithm.
ISSN:1097-6256
1546-1726
DOI:10.1038/s41593-021-00844-2