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Achieving stable dynamics in neural circuits
The brain consists of many interconnected networks with time-varying, partially autonomous activity. There are multiple sources of noise and variation yet activity has to eventually converge to a stable, reproducible state (or sequence of states) for its computations to make sense. We approached thi...
Autores principales: | Kozachkov, Leo, Lundqvist, Mikael, Slotine, Jean-Jacques, Miller, Earl K. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7446801/ https://www.ncbi.nlm.nih.gov/pubmed/32764745 http://dx.doi.org/10.1371/journal.pcbi.1007659 |
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