A comparison of probe geometries for neuronal localization

Patrick Greene, Kevin K. Lin

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Extracellular electrical recordings capture the spiking activity of multiple neurons in the vicinity of a probe. Typically, the features of interest in these recordings are action potentials and their timing. However, for planar probes that span tens or hundreds of neurons, it is possible to identify relative spatial locations of neurons. Such spatial information may be useful for reconstructing local network structure or for improving the quality of spike sorting. We propose a Bayesian modification of a dipole-based method for estimating neural positions from waveforms recorded on multi contact probes and investigate how sensitive it is to prior knowledge about the equivalent dipole sizes of neurons and the geometry of the recording probe. In addition, we determine the probe spacing and number of contacts which produce optimal localization accuracy within the class of planar, circularly symmetric contact configurations.

Original languageEnglish (US)
Title of host publication44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages4083-4087
Number of pages5
ISBN (Electronic)9781728127828
DOIs
StatePublished - 2022
Event44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2022 -
Duration: Jan 1 2022 → …

Publication series

NameProceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
Volume2022-July

Conference

Conference44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2022
Period1/1/22 → …

ASJC Scopus subject areas

  • Signal Processing
  • Biomedical Engineering
  • Computer Vision and Pattern Recognition
  • Health Informatics

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