article

Confounded spikes generated by synchrony within neural tissue models

Authors:

Kenneth P. Eaton,

Craig S. HenriquezAuthors Info & Claims

Neurocomputing, Volume 65-66

Pages 851 - 857

https://doi.org/10.1016/j.neucom.2004.10.082

Published: 01 June 2005 Publication History

Abstract

Spike-sorting often requires subjective interpretation of extracellular waveforms to resolve the underlying neural activity. Often, multiple spike waveforms are detected at one site and interpreted as arising from multiple neurons. Because uncovering the relationship between the spike and the underlying intracellular activity is not tractable in vivo, a computer model of 128 multi-compartment neurons sharing common inputs was used to explore how synchronous firing impacts both the morphology and classification of the spikes. The results suggest that near-synchronous conditions yield multiple waveforms that could lead to missed spikes and a confounded interpretation of the number of neurons contributing to the recording.

References

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Confounded spikes generated by synchrony within neural tissue models
1. Computing methodologies
  1. Machine learning
    1. Machine learning approaches

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Published In

Neurocomputing Volume 65-66, Issue

June, 2005

901 pages

ISSN:0925-2312

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Elsevier Science Publishers B. V.

Netherlands

Publication History

Published: 01 June 2005

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Synchrony and Asynchrony of Coincident Spikes of Neural Populations Depending on Line Drawings

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