The covariance perceptron: A new paradigm for classification and processing of time series in recurrent neuronal networks

Learning in neuronal networks has developed in many directions, in particular to reproduce cognitive tasks like image recognition and speech processing. Implementations have been inspired by stereotypical neuronal responses like tuning curves in the visual system, where, for example, ON/OFF cells fi...

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Detalles Bibliográficos
Autores principales: Gilson, Matthieu, Dahmen, David, Moreno-Bote, Rubén, Insabato, Andrea, Helias, Moritz
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7595646/
https://www.ncbi.nlm.nih.gov/pubmed/33044953
http://dx.doi.org/10.1371/journal.pcbi.1008127

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7595646/
https://www.ncbi.nlm.nih.gov/pubmed/33044953
http://dx.doi.org/10.1371/journal.pcbi.1008127

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