Quantification of inter-trial non-stationarity in spike trains from periodically stimulated neural cultures

In neuroscience, non-stationarity detection of spike trains is useful for ensuring stability of experimental condition, and detecting plasticity. A novel method for estimating point process divergence and its application for non-stationarity detection in spike trains is proposed. The method for meas...

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Bibliographic Details
Published in2010 IEEE International Conference on Acoustics, Speech and Signal Processing pp. 5442 - 5445
Main Authors Il Park, Príncipe, José C
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.03.2010
Subjects
Biomedical engineering
Biomedical measurements
finite point process
Neuroscience
non-stationarity detection
Performance evaluation
point process divergence
Probability
Stability
Statistical analysis
Statistical distributions
Testing
Timing
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Summary:In neuroscience, non-stationarity detection of spike trains is useful for ensuring stability of experimental condition, and detecting plasticity. A novel method for estimating point process divergence and its application for non-stationarity detection in spike trains is proposed. The method for measuring divergence is based on decomposition of finite point process and Hilbertian metrics. The method is demonstrated by detecting short-term and long-term plasticity in neural culture probed with periodic stimulations.
ISBN:9781424442959
1424442958
ISSN:1520-6149
2379-190X
DOI:10.1109/ICASSP.2010.5494920