An Information-Theoretic Framework to Measure the Dynamic Interaction Between Neural Spike Trains

@article{Mijatovic2021AnIF,
  title={An Information-Theoretic Framework to Measure the Dynamic Interaction Between Neural Spike Trains},
  author={Gorana Mijatovic and Yuri Antonacci and Tatjana Lon{\vc}ar-Turukalo and Ludovico Minati and Luca Faes},
  journal={IEEE Transactions on Biomedical Engineering},
  year={2021},
  volume={68},
  pages={3471-3481}
}
<italic>Objective:</italic> While understanding the interaction patterns among simultaneous recordings of spike trains from multiple neuronal units is a key topic in neuroscience, existing methods either do not consider the inherent point-process nature of spike trains or are based on parametric assumptions. This work presents an information-theoretic framework for the model-free, continuous-time estimation of both undirected (symmetric) and directed (Granger-causal) interactions between spike… 

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Plos Computational Biology主编关于论文获得发表的10条简单法则的评析
介绍Plos Computational Biology主编Philip E.Bourne关于论文发表的10务简单法则,包括:读很多论文,客观看待自身工作,选择好的编辑,提高英语水平,忍受退稿,提高论文质量等。以期对医学生和研究人员发表文章提供有益帮助。
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