Article

Measuring Directed Functional Connectivity Using Non-Parametric Directionality Analysis: Validation and Comparison with Non-Parametric Granger Causality

2019-01-24

Abstract excerpt

<h4>Background</h4> ‘Non-parametric directionality’ (NPD) is a novel method for estimation of directed functional connectivity (dFC) in neural data. The method has previously been verified in its ability to recover causal interactions in simulated spiking networks in Halliday et al. (2015) <h4>Methods</h4> This work presents a validation of NPD in continuous neural recordings (e.g. local field potentials). Speci...

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Literature Corpus work: 111d79b9-fbbe-5a67-b6f4-2b0c96d1e175
DOI: 10.1101/526566

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