Non-parametric directionality analysis: extension for removal of a single common predictor and application to time series
BACKGROUND: The ability to infer network structure from multivariate neuronal signals is central to computational neuroscience. Directed network analyses typically use parametric approaches based on auto-regressive (AR) models, where networks are constructed from estimates of AR model parameters. Ho...
| Main Authors: | , , , |
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| Format: | Article |
| Published: |
Elsevier
2016
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| Subjects: | |
| Online Access: | https://eprints.nottingham.ac.uk/38489/ |