4.1 Article

Methods for predicting cortical UP and DOWN states from the phase of deep layer local field potentials

期刊

JOURNAL OF COMPUTATIONAL NEUROSCIENCE
卷 29, 期 1-2, 页码 49-62

出版社

SPRINGER
DOI: 10.1007/s10827-010-0228-5

关键词

UP and DOWN states; LFP State dependent coding; Neural coding; Spontaneous activity; Neural oscillations

资金

  1. Gatsby Charitable Foundation [GAT2830]
  2. NIH [MH073245]
  3. NSF International [IRFP-NSF 0804305]
  4. Marie Curie Outgoing International Fellowship
  5. Engineering and Physical Sciences Research Council [EP/I005102/1] Funding Source: researchfish
  6. EPSRC [EP/I005102/1] Funding Source: UKRI

向作者/读者索取更多资源

During anesthesia, slow-wave sleep and quiet wakefulness, neuronal membrane potentials collectively switch between de- and hyperpolarized levels, the cortical UP and DOWN states. Previous studies have shown that these cortical UP/DOWN states affect the excitability of individual neurons in response to sensory stimuli, indicating that a significant amount of the trial-to-trial variability in neuronal responses can be attributed to ongoing fluctuations in network activity However, as intracellular recordings are frequently not available, it is important to be able to estimate their occurrence purely from extracellular data. Here, we combine in vivo whole cell recordings from single neurons with multi-site extracellular microelectrode recordings, to quantify the performance of various approaches to predicting UP/DOWN states from the deep-layer local field potential (LFP). We find that UP/DOWN states in deep cortical layers of rat primary

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