Characterizing in vitro hippocampal ripples using time-frequency analysis

Gillis, J. A., Luk, W. P., Zhang, L., Skinner, F. K. (2005) Characterizing in vitro hippocampal ripples using time-frequency analysis. Neurocomputing, 65-66 (SPEC. ). pp. 357-364. ISSN 09252312 (ISSN)

URL: http://www.sciencedirect.com/science/article/pii/S...
DOI: 10.1016/j.neucom.2004.10.029

Abstract

We analyze in vitro hippocampal activity exhibiting drug induced ripple-like rhythms using time-frequency distributions. The different tradeoffs between time-frequency resolution, interference, and range are examined with reference to the suitability of each for use in analyzing ripple data. An unbiased approach is taken to characterizing ripple rhythms uniquely by determining the parameter choices in which its behaviour is most distinct from baseline activity. Mixture distribution analysis of the two components generated from correlating frequency behaviour allows a clear method for determining the distinctiveness of ripple-like rhythms given a particular parameter choice. © 2004 Elsevier B.V. All rights reserved.

Item Type: Paper
Uncontrolled Keywords: EEG Hippocampus Mixture distributions Ripples Time-frequency Mixtures Parameter estimation Hippocampal activity Neurocomputing Time-frequency distributions Time-frequency resolution Neurology analytical parameters animal cell article cluster analysis controlled study correlation analysis data analysis frequency analysis histogram in vitro study nonhuman priority journal qualitative analysis rat time
Subjects: Investigative techniques and equipment
Investigative techniques and equipment > electrophysiology
organs, tissues, organelles, cell types and functions > tissues types and functions > hippocampus
organs, tissues, organelles, cell types and functions > tissues types and functions
CSHL Authors:
Communities: CSHL labs > Gillis Lab
Depositing User: Matt Covey
Date Deposited: 04 Apr 2013 13:57
Last Modified: 04 Apr 2013 13:57
URI: http://repository.cshl.edu/id/eprint/28074

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