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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...

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Veröffentlicht in:PLoS Comput Biol
Hauptverfasser: Kozachkov, Leo, Lundqvist, Mikael, Slotine, Jean-Jacques, Miller, Earl K.
Format: Artigo
Sprache:Inglês
Veröffentlicht: Public Library of Science 2020
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Online Zugang:https://ncbi.nlm.nih.gov/pmc/articles/PMC7446801/
https://ncbi.nlm.nih.gov/pubmed/32764745
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pcbi.1007659
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