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Peer-reviewedCC BYJournal of Neuroscience

Detection and Removal of Hyper-synchronous Artifacts in Massively Parallel Spike Recordings

  • Jonas Oberste-Frielinghaus1,2,3,4
  • Aitor Morales-Gregorio1,3
  • Simon Essink1,2,3,4
  • Alexander Kleinjohann1,2,3,4
  • Cristiano A. Köhler1,2,3,5,6
  • Frédéric V. Barthélemy1,3
  • Alexa Riehle C7
  • Thomas G. Brochier7
  • Simon Musall8,9,10
  • Junji Ito1
  • Sonja Grün1,11,12
12 affiliations
  1. 1Institute for Advanced Simulation (IAS-6), Jülich Research Centre, Jülich, Germany
  2. 2RWTH Aachen University, Aachen, Germany
  3. 3Institute for Advanced Simulation (IAS-6), Jülich Research Centre
  4. 4RWTH Aachen University
  5. 5JARA-Institute Brain Structure-Function Relationships (INM-10), Jülich Research Centre
  6. 6Theoretical Systems Neurobiology, RWTH Aachen University
  7. 7Institut de Neurosciences de la Timone (INT), Aix-Marseille Université, CNRS, Marseille, France
  8. 8Faculty of Medicine, Institute of Experimental Epileptology and Cognition Research, University of Bonn, Bonn, Germany
  9. 9Institute of Biological Information Processing (IBI-3), Jülich Research Centre, Jülich, Germany
  10. 10Institute of Biology 2, RWTH Aachen University, Aachen, Germany
  11. 11JARA Brain Institute I (INM-10), Jülich Research Centre, Jülich, Germany
  12. 12Theoretical Systems Neurobiology, RWTH Aachen University, Aachen, Germany
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Abstract

Contemporary electrophysiology experiments often involve massively parallel recordings of neuronal activity using multi-electrode arrays. While researchers have been aware of artifacts arising from electric cross-talk between channels in setups for such recordings, systematic and quantitative assessment of the effects of those artifacts on the data quality has never been reported. Here we present, based on examination of electrophysiology recordings from multiple laboratories, that multi-electrode recordings of spiking activity commonly contain extremely precise (at the data sampling resolution) spike coincidences far above the chance level. The recordings analyzed here were obtained from two rhesus macaques ( Macaca mulatta ; one male, one female) and one male mouse (C57BL/6J). We derive, through modeling of the electric cross-talk, a systematic relation between the amount of such hyper-synchronous events (HSEs) in channel pairs and the correlation between the raw signals of those channels in the multi-unit activity frequency range (500–7,500 Hz). We show that whitening the band-pass filtered raw signals removes the above chance HSEs; strongly suggesting they originate from linear mixing of signals. Whitening should therefore be performed prior to spike sorting and any further analysis of precise spike correlation, otherwise analysis results may be considerably affected.

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Cite

BibTeXRIS
BibTeX
@article{oberstefrielinghaus2026detection,
  title = {{Detection and Removal of Hyper-synchronous Artifacts in Massively Parallel Spike Recordings}},
  author = {Jonas Oberste-Frielinghaus and Aitor Morales-Gregorio and Simon Essink and Alexander Kleinjohann and Cristiano A. Köhler and Frédéric V. Barthélemy and Alexa Riehle C and Thomas G. Brochier and Simon Musall and Junji Ito and Sonja Grün},
  journal = {Journal of Neuroscience},
  year = {2026},
  month = jul,
  doi = {10.1523/jneurosci.0295-26.2026},
  url = {https://doi.org/10.1523/jneurosci.0295-26.2026},
  note = {CC BY},
}
RIS
TY  - JOUR
TI  - Detection and Removal of Hyper-synchronous Artifacts in Massively Parallel Spike Recordings
AU  - Jonas Oberste-Frielinghaus
AU  - Aitor Morales-Gregorio
AU  - Simon Essink
AU  - Alexander Kleinjohann
AU  - Cristiano A. Köhler
AU  - Frédéric V. Barthélemy
AU  - Alexa Riehle C
AU  - Thomas G. Brochier
AU  - Simon Musall
AU  - Junji Ito
AU  - Sonja Grün
PY  - 2026
DA  - 2026/07/30
JO  - Journal of Neuroscience
DO  - 10.1523/jneurosci.0295-26.2026
UR  - https://doi.org/10.1523/jneurosci.0295-26.2026
AB  - Contemporary electrophysiology experiments often involve massively parallel recordings of neuronal activity using multi-electrode arrays. While researchers have been aware of artifacts arising from electric cross-talk between channels in setups for such recordings, systematic and quantitative assessment of the effects of those artifacts on the data quality has never been reported. Here we present, based on examination of electrophysiology recordings from multiple laboratories, that multi-electrode recordings of spiking activity commonly contain extremely precise (at the data sampling resolution) spike coincidences far above the chance level. The recordings analyzed here were obtained from two rhesus macaques ( Macaca mulatta ; one male, one female) and one male mouse (C57BL/6J). We derive, through modeling of the electric cross-talk, a systematic relation between the amount of such hyper-synchronous events (HSEs) in channel pairs and the correlation between the raw signals of those channels in the multi-unit activity frequency range (500–7,500 Hz). We show that whitening the band-pass filtered raw signals removes the above chance HSEs; strongly suggesting they originate from linear mixing of signals. Whitening should therefore be performed prior to spike sorting and any further analysis of precise spike correlation, otherwise analysis results may be considerably affected.
SN  - 0270-6474
SN  - 1529-2401
ER  -