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Modeling extracellular potentials

机译：模拟细胞外电位

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摘要

Recordings of extracellular potentials have been, and still are, a main workhorse in the quest for understanding how the brain works. The high-frequency part of the signal, the multi-unit activity (MUA), mainly reflects firing of action potentials in the vicinity of the electrode. The low-frequency part, the local-field potential (LFP), appears largely to reflect subthreshold activity from a larger group of surrounding neurons. Despite their long history in neuroscience, these extracellular potentials are still not well understood. What can the LFP tell us about the underlying activity in neurons and neuronal networks? Which neurons dominate the MUA? These and similar questions need to be answered for us to take full advantage of the host of new types of multielectrodes with new geometries and ever more electrode contacts. Further, a better understanding of these issues will likely also be important for the development of good brain-machine interfaces. In all these problems, computational models and model-based analysis techniques are essential.
机译：细胞外电位的记录一直是并且仍然是寻求了解大脑工作方式的主要动力。信号的高频部分（多单元活动（MUA））主要反映电极附近动作电位的触发。低频部分，局部电场电位（LFP），似乎在很大程度上反映了来自周围较大神经元组的阈下活动。尽管它们在神经科学领域有着悠久的历史，但这些细胞外潜能仍未被很好地理解。 LFP可以告诉我们有关神经元和神经元网络潜在活动的信息吗？哪些神经元控制着MUA？这些和类似的问题需要我们回答，以充分利用具有新几何形状和更多电极触点的多种新型多电极。此外，更好地理解这些问题对于开发良好的脑机接口也可能很重要。在所有这些问题中，计算模型和基于模型的分析技术至关重要。

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    《Journal of Computational Neuroscience》 |2010年第3期|p.367-369|共3页
  • 作者

    Gaute T. Einevoll; Daniel K. Wojcik; Alain Destexhe;

  • 作者单位

    Department of Mathematical Sciences and Technology and Center for Integrative Genetics, Norwegian University of Life Sciences,As, Norway;

    rnDepartment of Neurophysiology,Nencki Institute of Experimental Biology,3 Pasteur St,02-093 Warsaw, Poland;

    rnIntegrative and Computational Neuroscience Unit (UNIC),UPR2191, CNRS,Gif-sur-Yvette, France;

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