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Authors: Ninah Koolen ; Ivan Gligorijevic and Sabine Van Huffel

Affiliation: Katholieke Universiteit Leuven, Belgium

ISBN: 978-989-8425-89-8

Keyword(s): Neural Activity, Spikes, Spike Clustering, Statistical Parameters.

Related Ontology Subjects/Areas/Topics: Applications and Services ; Biomedical Engineering ; Biomedical Signal Processing ; Computer Vision, Visualization and Computer Graphics ; Medical Image Detection, Acquisition, Analysis and Processing

Abstract: In order to investigate functioning of the brain processes, it is important to have reliable processing of neural activity. For precise tracking of local neural network processes, reliable clustering of single neurons’ action potentials (spikes) is necessary. So far, it was common to keep the signals of high quality and discard the others. This work examines the possibility of extracting reliable information from bad quality signals, in the presence of spike classification errors. We tested the robustness and information capacity of several statistical parameters used to describe firing patterns of spike trains using simulated signals mimicking most common cases in nature. Although complete reconstruction of firing patterns is not always possible, we show that the approximation of the mean firing frequency as well as the detection of bursting processes can still be quantified successfully, thereby paving the way for future applications.

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Paper citation in several formats:
Koolen, N.; Gligorijevic, I. and Van Huffel, S. (2012). RELIABILITY OF STATISTICAL FEATURES DESCRIBING NEURAL SPIKE TRAINS IN THE PRESENCE OF CLASSIFICATION ERRORS.In Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2012) ISBN 978-989-8425-89-8, pages 169-173. DOI: 10.5220/0003702501690173

@conference{biosignals12,
author={Ninah Koolen. and Ivan Gligorijevic. and Sabine Van Huffel.},
title={RELIABILITY OF STATISTICAL FEATURES DESCRIBING NEURAL SPIKE TRAINS IN THE PRESENCE OF CLASSIFICATION ERRORS},
booktitle={Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2012)},
year={2012},
pages={169-173},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003702501690173},
isbn={978-989-8425-89-8},
}

TY - CONF

JO - Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2012)
TI - RELIABILITY OF STATISTICAL FEATURES DESCRIBING NEURAL SPIKE TRAINS IN THE PRESENCE OF CLASSIFICATION ERRORS
SN - 978-989-8425-89-8
AU - Koolen, N.
AU - Gligorijevic, I.
AU - Van Huffel, S.
PY - 2012
SP - 169
EP - 173
DO - 10.5220/0003702501690173

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