Assessing time-varying causality network of ensemble neural spiking activity
© Kim et al; licensee BioMed Central Ltd. 2011
Published: 18 July 2011
The time-varying causal connectivity between neurons was assessed based on the instantaneous point process LLR calculated using the sequential probability assignment method. The proposed framework can be easily extended to different modalities of neural signals using general exponential family of distributions.
- Granger C: Investigating causal relations by econometric models and cross-spectral methods. Econometrica. 1969, 37: 424-438. 10.2307/1912791.View ArticleGoogle Scholar
- Kim S, Putrino D, Ghosh S, Brown EN: A Granger causality measure for point process models of ensemble neural spiking activity. PLoS Comput Biol.Google Scholar
- Quinn C, Coleman TP, Kiyavash NG, Hatsopoulos NG: Estimating the directed information to infer causal relationships in ensemble neural spike train recordings. J Comput Neurosci. 2011, 30: 17-44. 10.1007/s10827-010-0247-2.PubMed CentralView ArticlePubMedGoogle Scholar
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