Artificial neural networks and data compression statistics for the discrimination of cultured neuronal activity

Perez-Uribe, Andres (School of Management and Engineering Vaud, HES-SO // University of Applied Sciences Western Switzerland) ; Satizabal, Hector F. (School of Management and Engineering Vaud, HES-SO // University of Applied Sciences Western Switzerland)

The Multi-electrode Array (MEA) technology allows the in-vitro culture of neuronal networks that can be used as a simplified and accessible model of the central nervous system, given that they exhibit activity patterns similar to the in-vivo tissue. Current devices generate huge amounts of data, thus motivating the development of systems capable of discriminating diverse cultured neuronal network activity patterns. In this paper, we describe the use of Inter-Spike Interval statistics coupled to data compression statistics in two discrimination applications. One of them concerning spontaneous vs. stimulated activity patterns, and the other concerning spontaneous responses from a control culture of neurons and a previously treated one. We show that the data compression ratio of the trains of spikes emerging from those cultures can be used to enhance the discrimination performance.


Keywords:
Conference Type:
published full paper
Faculty:
Ingénierie et Architecture
School:
HEIG-VD
Institute:
IICT - Institut des Technologies de l'Information et de la Communication
Publisher:
Lausanne, Switzerland, 11-14 September 2012
Date:
2012-09
Lausanne, Switzerland
11-14 September 2012
Pagination:
pp. 201-208
Published in:
Lecture Notes in Computer Science ; Proceedings of International Conference on Artificial Neural Networks ICANN 2012: Artificial Neural Networks and Machine Learning – ICANN 2012, 11-14 September 2012, Lausanne, Switzerland
Series Statement:
Lecture Notes in Computer Science, 7552
DOI:
ISSN:
0302-9743
ISBN:
978-3-642-33268-5
Appears in Collection:

Note: The status of this file is: restricted


 Record created 2021-01-26, last modified 2021-01-26

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