Random Neuronal Networks show homeostatic regulation of global activity while showing persistent changes in specific connectivity paths to theta burst stimuli

Learning in neuronal networks based on Hebbian principle has been shown to lead to destabilizing effects. Mechanisms have been identified that maintain homeostasis in such networks. However, the way in which these two opposing forces operate to support learning while maintaining stability is an acti...

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Detalles Bibliográficos
Autores principales: George, Jude Baby, Abraham, Grace Mathew, Amrutur, Bharadwaj, Sikdar, Sujit Kumar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6224599/
https://www.ncbi.nlm.nih.gov/pubmed/30410087
http://dx.doi.org/10.1038/s41598-018-34634-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6224599/
https://www.ncbi.nlm.nih.gov/pubmed/30410087
http://dx.doi.org/10.1038/s41598-018-34634-x

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