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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...
Autores principales: | George, Jude Baby, Abraham, Grace Mathew, Amrutur, Bharadwaj, Sikdar, Sujit Kumar |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2018
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Materias: | |
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 |
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