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State-Space Algorithms for Estimating Spike Rate Functions
Joint Authors
Brown, Emery N.
Scalon, Joao D.
Smith, Anne C.
Wirth, Sylvia
Yanike, Marianna
Suzuki, Wendy A.
Source
Computational Intelligence and Neuroscience
Issue
Vol. 2010, Issue 2010 (31 Dec. 2010), pp.1-14, 14 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2009-11-05
Country of Publication
Egypt
No. of Pages
14
Main Subjects
Abstract EN
The accurate characterization of spike firing rates including the determination of when changes in activity occur is a fundamental issue in the analysis of neurophysiological data.
Here we describe a state-space model for estimating the spike rate function that provides a maximum likelihood estimate of the spike rate, model goodness-of-fit assessments, as well as confidence intervals for the spike rate function and any other associated quantities of interest.
Using simulated spike data, we first compare the performance of the state-space approach with that of Bayesian adaptive regression splines (BARS) and a simple cubic spline smoothing algorithm.
We show that the state-space model is computationally efficient and comparable with other spline approaches.
Our results suggest both a theoretically sound and practical approach for estimating spike rate functions that is applicable to a wide range of neurophysiological data.
American Psychological Association (APA)
Smith, Anne C.& Scalon, Joao D.& Wirth, Sylvia& Yanike, Marianna& Suzuki, Wendy A.& Brown, Emery N.. 2009. State-Space Algorithms for Estimating Spike Rate Functions. Computational Intelligence and Neuroscience،Vol. 2010, no. 2010, pp.1-14.
https://search.emarefa.net/detail/BIM-471296
Modern Language Association (MLA)
Smith, Anne C.…[et al.]. State-Space Algorithms for Estimating Spike Rate Functions. Computational Intelligence and Neuroscience No. 2010 (2010), pp.1-14.
https://search.emarefa.net/detail/BIM-471296
American Medical Association (AMA)
Smith, Anne C.& Scalon, Joao D.& Wirth, Sylvia& Yanike, Marianna& Suzuki, Wendy A.& Brown, Emery N.. State-Space Algorithms for Estimating Spike Rate Functions. Computational Intelligence and Neuroscience. 2009. Vol. 2010, no. 2010, pp.1-14.
https://search.emarefa.net/detail/BIM-471296
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-471296