Multivariate Autoregressive Modeling and Granger Causality Analysis of Multiple Spike Trains
Joint Authors
Source
Computational Intelligence and Neuroscience
Issue
Vol. 2010, Issue 2010 (31 Dec. 2010), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2010-04-29
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
Recent years have seen the emergence of microelectrode arrays and optical methods allowing simultaneous recording of spiking activity from populations of neurons in various parts of the nervous system.
The analysis of multiple neural spike train data could benefit significantly from existing methods for multivariate time-series analysis which have proven to be very powerful in the modeling and analysis of continuous neural signals like EEG signals.
However, those methods have not generally been well adapted to point processes.
Here, we use our recent results on correlation distortions in multivariate Linear-Nonlinear-Poisson spiking neuron models to derive generalized Yule-Walker-type equations for fitting ‘‘hidden’’ Multivariate Autoregressive models.
We use this new framework to perform Granger causality analysis in order to extract the directed information flow pattern in networks of simulated spiking neurons.
We discuss the relative merits and limitations of the new method.
American Psychological Association (APA)
Krumin, Michael& Shoham, Shy. 2010. Multivariate Autoregressive Modeling and Granger Causality Analysis of Multiple Spike Trains. Computational Intelligence and Neuroscience،Vol. 2010, no. 2010, pp.1-9.
https://search.emarefa.net/detail/BIM-495945
Modern Language Association (MLA)
Krumin, Michael& Shoham, Shy. Multivariate Autoregressive Modeling and Granger Causality Analysis of Multiple Spike Trains. Computational Intelligence and Neuroscience No. 2010 (2010), pp.1-9.
https://search.emarefa.net/detail/BIM-495945
American Medical Association (AMA)
Krumin, Michael& Shoham, Shy. Multivariate Autoregressive Modeling and Granger Causality Analysis of Multiple Spike Trains. Computational Intelligence and Neuroscience. 2010. Vol. 2010, no. 2010, pp.1-9.
https://search.emarefa.net/detail/BIM-495945
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-495945