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

  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},
<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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