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

Author

Park, Il Memming ; Príncipe, José C.

Author_Institution

Dept. of Biomed. Eng., Univ. of Florida, Gainesville, FL, USA

fYear

2010

fDate

14-19 March 2010

Firstpage

5442

Lastpage

5445

Abstract

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.

Keywords

bioelectric potentials; medical signal detection; neurophysiology; Hilbertian metrics; neuroscience; periodically stimulated neural cultures; plasticity; spike trains; Biomedical engineering; Biomedical measurements; Neuroscience; Performance evaluation; Probability; Stability; Statistical analysis; Statistical distributions; Testing; Timing; finite point process; non-stationarity detection; point process divergence;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics Speech and Signal Processing (ICASSP), 2010 IEEE International Conference on

Conference_Location

Dallas, TX

ISSN

1520-6149

Print_ISBN

978-1-4244-4295-9

Electronic_ISBN

1520-6149

Type

conf

DOI

10.1109/ICASSP.2010.5494920

Filename

5494920