Burst detection algorithms for the analysis of spatio-temporal patterns in cortical networks of neurons

Authors:
M. Chiappalone;A. Novellino;I. Vajda;A. Vato;S. Martinoia;J. van Pelt
Affiliations:
Neuroengineering and BionanoTechnologies Lab, NBT, Department of Biophysical and Electronic Engineering, University of Genova, Via Opera Pia 11A, 16145 Genova, Italy;Neuroengineering and BionanoTechnologies Lab, NBT, Department of Biophysical and Electronic Engineering, University of Genova, Via Opera Pia 11A, 16145 Genova, Italy;Netherlands Institute for Brain Research, Meibergdreef 33, 1105 Amsterdam, The Netherlands;Neuroengineering and BionanoTechnologies Lab, NBT, Department of Biophysical and Electronic Engineering, University of Genova, Via Opera Pia 11A, 16145 Genova, Italy;Neuroengineering and BionanoTechnologies Lab, NBT, Department of Biophysical and Electronic Engineering, University of Genova, Via Opera Pia 11A, 16145 Genova, Italy;Netherlands Institute for Brain Research, Meibergdreef 33, 1105 Amsterdam, The Netherlands
Venue:
Neurocomputing
Year:
2005

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Abstract

Cortical neurons extracted from the developing rat central nervous system and put in culture, show, after a few days, spontaneous activity with a typical electrophysiological pattern ranging from stochastic spiking to synchronized bursting. Using microelectrode arrays (MEA), on which dissociated cultures can be grown for long-term measurements, we recorded the electrophysiological activity of cortical networks during development, in order to monitor their responses at different stages of the maturation process. Employing algorithms for detection and analysis of bursts in single-channel spike trains and of synchronized network bursts in multi-channel spike trains, significant changes have been revealed in the firing dynamics at different stages of the developmental process.