Toward automated electrode selection in the electronic depth control strategy for multi-unit recordings

Gert Van Dijck, Ahmad Jezzini, Stanislav Herwik, Sebastian Kisban, Karsten Seidl, Oliver Paul, Patrick Ruther, Francesca Ugolotti Serventi, Leonardo Fogassi, Marc M. Van Hulle, Maria Alessandra Umiltà

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations


Multi-electrode arrays contain an increasing number of electrodes. The manual selection of good quality signals among hundreds of electrodes becomes impracticable for experimental neuroscientists. This increases the need for an automated selection of electrodes containing good quality signals. To motivate the automated selection, three experimenters were asked to assign quality scores, taking one of four possible values, to recordings containing action potentials obtained from the monkey primary somatosensory cortex and the superior parietal lobule. Krippendorff's alpha-reliability was then used to verify whether the scores, given by different experimenters, were in agreement. A Gaussian process classifier was used to automate the prediction of the signal quality using the scores of the different experimenters. Prediction accuracies of the Gaussian process classifier are about 80% when the quality scores of different experimenters are combined, through a median vote, to train the Gaussian process classifier. It was found that predictions based also on firing rate features are in closer agreement with the experimenters' assignments than those based on the signal-to-noise ratio alone.

Original languageEnglish
Title of host publicationNeural Information Processing
Subtitle of host publicationModels and Applications - 17th International Conference, ICONIP 2010, Proceedings
Number of pages9
EditionPART 2
StatePublished - 2010
Event17th International Conference on Neural Information Processing, ICONIP 2010 - Sydney, NSW, Australia
Duration: Nov 22 2010Nov 25 2010

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 2
Volume6444 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference17th International Conference on Neural Information Processing, ICONIP 2010
CitySydney, NSW


  • Continuous wavelet transform
  • Electronic depth control
  • Gaussian process classifier
  • Inter-rater reliability
  • Multi-unit recordings
  • Spike detection


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